Legend:
CC = Vancouver Convention Centre
F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
Activity Details
4 *
Sun, 7/29/2018,
2:00 PM -
3:50 PM
CC-East 16
Transparency, Reproducibility and Replicability in Work with Social and Economic Data — Invited Papers
Government Statistics Section , Social Statistics Section, Survey Research Methods Section, Section on Statistical Computing
Organizer(s): Mike L. Cohen, Committee on National Statistics
Chair(s): Mike L. Cohen, Committee on National Statistics
2:05 PM
Framing Reproducibility Issues in Computationally- and Data-Enabled Research?
Victoria Stodden, University of Illinois
2:30 PM
Transparency, Reproducibility, and Replicability
Margaret Levenstein, Inter-university Consortium for Political and Social Research
2:55 PM
Enhancement of Transparency, Reproducibility, and Replicability in the Integration of Multiple Data Sources
Presentation 1
Presentation 2
John L. Eltinge, United States Census Bureau
3:20 PM
Discussant: Emilda Rivers, National Center for Science and Engineering Statistics, NSF
3:45 PM
Floor Discussion
11 * !
Sun, 7/29/2018,
2:00 PM -
3:50 PM
CC-West 206/207
Daunting Challenges and Innovative Solutions for Big Data Analysis — Invited Papers
Section on Statistical Computing , Caucus for Women in Statistics, Section on Statistical Learning and Data Science, SSC, Social Statistics Section
Organizer(s): Nusrat Jahan, James Madison University
Chair(s): Nusrat Jahan, James Madison University
2:05 PM
Spatially Informed Variable Selection Priors and Application to Neuroimaging Data
Presentation
Marina Vannucci, Rice University
2:30 PM
Analysis and Visualization for Large-Scale Scientific Simulations
Joanne R. Wendelberger, Los Alamos National Laboratory ; Divya Banesh, Los Alamos National Laboratory; James Ahrens, Los Alamos National Laboratory
2:55 PM
Nonparametric Empirical Bayes Methods for High Dimension Problems
Presentation
Linda Zhao, University of Pennsylvania ; Junhui Cai, University of Pennsylvania
3:20 PM
Data-Driven Regularization and Priors in GWAS and Mediation Analysis
Presentation
Sunduz Keles, University of Wisconsin, Madison
3:45 PM
Floor Discussion
28
Sun, 7/29/2018,
2:00 PM -
3:50 PM
CC-West 208
SPEED: A Mixture of Topics in Health, Computing, and Imaging — Contributed Speed
Mental Health Statistics Section , Section on Statistical Computing , Section on Statistics in Imaging , Section on Statistical Learning and Data Science, SSC, Section on Physical and Engineering Sciences, Section for Statistical Programmers and Analysts
Chair(s): Lu Chen, Worcester Polytechnic Institute
Poster Presentations
for this session.
2:05 PM
Remote Perconditioning Enhances Neuro Protection and Collateral Blood Flow During Ischemia in Distal Cerebral Ischemic Rat Model (MCAo) Through AMPK-ENOS Pathways
Presentation
Abdul Salam, Hamad Medical Corporation ; Aijaz Parray, Hamad Medical Corporation; yonglie Ma, University of Alberta ; Naveed Akhter, Hamamd Medical Corporation; Sajitha VP, Hamad Medical Corporation; Ruth Priyanka, Hamamd Medical Corporation; Ian Winship, University of Alberta; Nosheen Shahid, Hamamd Medical Corporation; Ashfaq Shuaib, University of Alberta
2:10 PM
Polynomial Based Approximate Probability Distributions
Chris Elrod, Baylor University ; James Stamey, Baylor University
2:15 PM
Measurement Reliability in Mental Health Research: Critical Implications for Research Design and Analysis
Alessandro De Nadai, Texas State University ; Marieke Visser, Texas State University
2:30 PM
Tailoring PCA for Detecting Sparse Changes in Multi-Stream Data
Presentation
Martin Tveten, University of Oslo ; Ingrid Kristine Glad, University of Oslo
2:35 PM
Ranked Sparsity Methods for Transparent Model Selection
Presentation
Ryan Andrew Peterson, University of Iowa ; Joseph Cavanaugh, University of Iowa
2:40 PM
Image-On-Image Regression: a Spatial Bayesian Latent Factor Model for Predicting Task-Evoked Brain Activity Using Task-Free MRI
Presentation
Cui Guo, University of Michigan
2:45 PM
Fusion of the Semiparametric Models and Network Measures in the Study of Brain Dynamic Functional Connectivity
Maria Kudela, Takeda Pharmaceuticals ; Jaroslaw Harezlak, Indiana University Bloomington; Mario Dzemidzic, Indiana University School of Medicine; Brandon Oberlin, Indiana University School of Medicine; David A Kareken, Indiana University School of Medicine; Joaquin Goni, Purdue University
2:50 PM
Fast Generalised Linear Models in a Database
Presentation
Thomas Lumley, University of Auckland
3:00 PM
A Deep Learning Approach to the Estimation of Bias and Variance in HARDI
Presentation
Allison Hainline, Vanderbilt University ; Hakmook Kang, Vanderbilt University Medical Center; Bennett Landman, Vanderbilt University
3:05 PM
Creating Counting Process Intervals with Ease
Presentation
Cynthia Crowson, Mayo Clinic ; Terry M Therneau, Mayo Clinic; Elizabeth J Atkinson, Mayo Clinic
3:10 PM
Multi-Scale Vecchia Approximation of Gaussian Processes
Presentation
Jingjie Zhang, Texas A&M University ; Matthias Katzfuss, Texas A&M University
29
Sun, 7/29/2018,
2:00 PM -
3:50 PM
CC-West 212
SPEED: An Ensemble of Advances in Genomics and Genetics — Contributed Speed
Section on Statistics in Genomics and Genetics , ENAR, SSC, Section on Risk Analysis, Section on Statistical Computing, Biometrics Section
Chair(s): Paul Little, UNC Chapel Hill
Poster Presentations
for this session.
2:05 PM
Discrete Principal Component Analysis for Population Stratification
Nedret Billor, Auburn University ; Yuan Yuan, Auburn University; Asuman Seda Turkmen, The Ohio State University
2:10 PM
On Using Gene Genealogies to Find Trait-Influencing Variants
Presentation
Payman Nickchi, Simon Fraser University ; Jinko Graham, Simon Fraser University
2:15 PM
A Hierarchical Bayesian Deconvolution Model for Inferring Immune Cell Components in Tumor
Presentation
An-Shun Tai, National Tsing Hua University
2:20 PM
A Hybrid Method of the Sequential Monte Carlo and the Edgeworth Expansion for Computation of Very Small P-Values in Permutation Tests
James Jian Yang, University of Michigan ; Anne YuhPey Buu, University of Michigan
2:25 PM
A Novel Framework for Differential Gene Expression Analysis Using Robust Profile Likelihood Ratios
Presentation
Lehang Zhong, Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto ; Lisa Joanna Strug, Genetics and Genome Biology, The Hospital for Sick Children
2:30 PM
Empirical Bayes Analysis of Overdispersed High-Dimensional Protein Interaction Data
Presentation
Anna Reisetter
2:35 PM
An Efficient Resampling Method for Order-Restricted Gene-Trait Association Analysis
Presentation
Yeonil Kim, University of Florida ; Yueh-Yun Chi, University of Florida; Fei Zou, University of North Carolina at Chapel Hill
2:40 PM
MHi-C: Robust Leveraging of Multi-Mapping Reads in Hi-C Analysis
Presentation
Ye Zheng, University of Wisconsin Madison ; Ferhat Ay, La Jolla Institute for Allergy and Immunology; Sunduz Keles, University of Wisconsin, Madison
2:45 PM
A Method for Estimating SNP Heritability with Consideration of Variant Correlation and Non-Parametric Relationship
Presentation
Hsiao-Chi Liao, National Taiwan University ; Chuhsing Kate Hsiao, National Taiwan University Institute of Epidemiology and Preventive Medicine
2:50 PM
A Nearly Optimal Sequential Testing Approach to Permutation-Based Association Testing
Presentation
Julian Hecker, Harvard T.H. Chan School of Public Health ; Ingo Ruczinski, Bloomberg School of Public Health; Brent A. Coull, Harvard TH Chan School of Public Health; Christoph Lange, Harvard T.H. Chan School of Public Health
3:00 PM
P-Value Estimation for the Risk Score of a Prediction Model
Presentation
Heidi Chen, Vanderbilt University Medical Center ; Ming Li, Case Western Reserve University; Huiyun Wu, St. Jude Children's Research Hospital; Yu Shyr, Vanderbilt University Medical Center
3:05 PM
Novel Methods for Gene Set Enrichment Analysis with Empirical Memberships for Overlapping Genes
Presentation
Yun Zhang, University of Rochester ; Xing Qiu, University of Rochester
3:10 PM
Statistical Learning on Next-Generation Sequencing of T Cell Repertoire Data
Presentation
Li Zhang, UCSF School of Medicine, UCSF ; Tao He, San Francisco State University; Alan Paciorek, University of California, San Franciscornia ; Jason Cham, University of California, San Francisco; David Oh, University of California, San Francisco; Lawrence Fong, University of California, San Francisco
3:15 PM
An Integrative Bayesian Approach to Dissect Complex Trait Etiology
Presentation
Corbin Quick, University of Michigan
3:25 PM
Optimal Covariate Weighting Increases Discoveries in High-Throughput Biology
Presentation
Paul Schliekelman, University of Georgia ; Mohamad Hasan, University of Georgia
3:30 PM
Statistical Approach for Investigating Change in Mutational Processes During Cancer Growth and Development
Presentation
Zhi Yang, University of Southern California ; Priyatama Pandey, University of Southern California; Darryl Shibata, University of Southern California; Paul Southern Marjoram, University of Southern California; Kimberly Siegmund, University of Southern California
3:35 PM
Gene Expression-Based Classification of Cancer Tumours via Penalized Probabilistic Principal Components Analysis
Presentation
Wei Deng, University of Toronto ; Radu V Craiu, University of Toronto
3:40 PM
Benford's Law Based Outliers Detection for Population Stratification in Genotype Data
Yuan Yuan, Auburn University ; Nedret Billor, Auburn University; Asuman Seda Turkmen, The Ohio State University
3:45 PM
A Tight Spectral Clustering Algorithm for Bipartite Networks with Node Covariates
Presentation
Yidan Sun
50 *
Sun, 7/29/2018,
4:00 PM -
5:50 PM
CC-West 122
Which Sessions Should This Go To? Text Analytics to the Rescue of Conference Committees — Invited Papers
Section on Statistical Computing , Section on Statistical Learning and Data Science, Stats. Partnerships Among Academe Indust. & Govt. Committee
Organizer(s): Stas Kolenikov, Abt Associates
Chair(s): Jeffrey Gonzalez, Bureau of Labor Statistics
4:05 PM
Text Mining Using Discrete Optimization
Presentation
Kelly H Zou, Pfizer Inc ; Ching-Ray Yu, Pfizer Inc
4:30 PM
Creating a Taxonomy of Statistical Methods Using Text Analysis
Presentation
Wendy L Martinez, Bureau of Labor Statistics
4:55 PM
Identifying and Utilizing Research Topics in Conference Abstracts
Stas Kolenikov, Abt Associates ; Alison Thaung, Abt Associates
5:20 PM
Discussant: Julia D Silge, Stack Overflow
5:45 PM
Floor Discussion
84
Sun, 7/29/2018,
4:00 PM -
4:45 PM
CC-West Hall B
SPEED: A Mixture of Topics in Health, Computing, and Imaging — Contributed Poster Presentations
Mental Health Statistics Section , Section on Statistical Computing , Section on Statistics in Imaging , Section on Statistical Learning and Data Science, SSC, Section on Physical and Engineering Sciences, Section for Statistical Programmers and Analysts
Chair(s): Paul McNicholas, McMaster University
Oral Presentations
for this session.
21:
Remote Perconditioning Enhances Neuro Protection and Collateral Blood Flow During Ischemia in Distal Cerebral Ischemic Rat Model (MCAo) Through AMPK-ENOS Pathways
Abdul Salam, Hamad Medical Corporation ; Aijaz Parray, Hamad Medical Corporation; yonglie Ma, University of Alberta ; Naveed Akhter, Hamamd Medical Corporation; Sajitha VP, Hamad Medical Corporation; Ruth Priyanka, Hamamd Medical Corporation; Ian Winship, University of Alberta; Nosheen Shahid, Hamamd Medical Corporation; Ashfaq Shuaib, University of Alberta
22:
Polynomial Based Approximate Probability Distributions
Chris Elrod, Baylor University ; James Stamey, Baylor University
23:
Measurement Reliability in Mental Health Research: Critical Implications for Research Design and Analysis
Alessandro De Nadai, Texas State University ; Marieke Visser, Texas State University
27:
Tailoring PCA for Detecting Sparse Changes in Multi-Stream Data
Martin Tveten, University of Oslo ; Ingrid Kristine Glad, University of Oslo
28:
Ranked Sparsity Methods for Transparent Model Selection
Ryan Andrew Peterson, University of Iowa ; Joseph Cavanaugh, University of Iowa
29:
Image-On-Image Regression: a Spatial Bayesian Latent Factor Model for Predicting Task-Evoked Brain Activity Using Task-Free MRI
Cui Guo, University of Michigan
30:
Fusion of the Semiparametric Models and Network Measures in the Study of Brain Dynamic Functional Connectivity
Maria Kudela, Takeda Pharmaceuticals ; Jaroslaw Harezlak, Indiana University Bloomington; Mario Dzemidzic, Indiana University School of Medicine; Brandon Oberlin, Indiana University School of Medicine; David A Kareken, Indiana University School of Medicine; Joaquin Goni, Purdue University
31:
Fast Generalised Linear Models in a Database
Thomas Lumley, University of Auckland
32:
A Deep Learning Approach to the Estimation of Bias and Variance in HARDI
Allison Hainline, Vanderbilt University ; Hakmook Kang, Vanderbilt University Medical Center; Bennett Landman, Vanderbilt University
33:
Creating Counting Process Intervals with Ease
Cynthia Crowson, Mayo Clinic ; Terry M Therneau, Mayo Clinic; Elizabeth J Atkinson, Mayo Clinic
34:
Multi-Scale Vecchia Approximation of Gaussian Processes
Jingjie Zhang, Texas A&M University ; Matthias Katzfuss, Texas A&M University
Oral Presentations
for this session.
85
Sun, 7/29/2018,
5:05 PM -
5:50 PM
CC-West Hall B
SPEED: An Ensemble of Advances in Genomics and Genetics — Contributed Poster Presentations
Section on Statistics in Genomics and Genetics , ENAR, SSC, Section on Risk Analysis, Section on Statistical Computing, Biometrics Section
Chair(s): Paul McNicholas, McMaster University
Oral Presentations
for this session.
1:
Discrete Principal Component Analysis for Population Stratification
Nedret Billor, Auburn University ; Yuan Yuan, Auburn University; Asuman Seda Turkmen, The Ohio State University
2:
On Using Gene Genealogies to Find Trait-Influencing Variants
Payman Nickchi, Simon Fraser University ; Jinko Graham, Simon Fraser University
3:
A Hierarchical Bayesian Deconvolution Model for Inferring Immune Cell Components in Tumor
An-Shun Tai, National Tsing Hua University
4:
A Hybrid Method of the Sequential Monte Carlo and the Edgeworth Expansion for Computation of Very Small P-Values in Permutation Tests
James Jian Yang, University of Michigan ; Anne YuhPey Buu, University of Michigan
5:
A Novel Framework for Differential Gene Expression Analysis Using Robust Profile Likelihood Ratios
Lehang Zhong, Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto ; Lisa Joanna Strug, Genetics and Genome Biology, The Hospital for Sick Children
6:
Empirical Bayes Analysis of Overdispersed High-Dimensional Protein Interaction Data
Anna Reisetter
7:
An Efficient Resampling Method for Order-Restricted Gene-Trait Association Analysis
Yeonil Kim, University of Florida ; Yueh-Yun Chi, University of Florida; Fei Zou, University of North Carolina at Chapel Hill
8:
MHi-C: Robust Leveraging of Multi-Mapping Reads in Hi-C Analysis
Ye Zheng, University of Wisconsin Madison ; Ferhat Ay, La Jolla Institute for Allergy and Immunology; Sunduz Keles, University of Wisconsin, Madison
9:
A Method for Estimating SNP Heritability with Consideration of Variant Correlation and Non-Parametric Relationship
Hsiao-Chi Liao, National Taiwan University ; Chuhsing Kate Hsiao, National Taiwan University Institute of Epidemiology and Preventive Medicine
10:
A Nearly Optimal Sequential Testing Approach to Permutation-Based Association Testing
Julian Hecker, Harvard T.H. Chan School of Public Health ; Ingo Ruczinski, Bloomberg School of Public Health; Brent A. Coull, Harvard TH Chan School of Public Health; Christoph Lange, Harvard T.H. Chan School of Public Health
11:
P-Value Estimation for the Risk Score of a Prediction Model
Heidi Chen, Vanderbilt University Medical Center ; Ming Li, Case Western Reserve University; Huiyun Wu, St. Jude Children's Research Hospital; Yu Shyr, Vanderbilt University Medical Center
12:
Novel Methods for Gene Set Enrichment Analysis with Empirical Memberships for Overlapping Genes
Yun Zhang, University of Rochester ; Xing Qiu, University of Rochester
13:
Statistical Learning on Next-Generation Sequencing of T Cell Repertoire Data
Li Zhang, UCSF School of Medicine, UCSF ; Tao He, San Francisco State University; Alan Paciorek, University of California, San Franciscornia ; Jason Cham, University of California, San Francisco; David Oh, University of California, San Francisco; Lawrence Fong, University of California, San Francisco
14:
An Integrative Bayesian Approach to Dissect Complex Trait Etiology
Corbin Quick, University of Michigan
16:
Optimal Covariate Weighting Increases Discoveries in High-Throughput Biology
Paul Schliekelman, University of Georgia ; Mohamad Hasan, University of Georgia
17:
Statistical Approach for Investigating Change in Mutational Processes During Cancer Growth and Development
Zhi Yang, University of Southern California ; Priyatama Pandey, University of Southern California; Darryl Shibata, University of Southern California; Paul Southern Marjoram, University of Southern California; Kimberly Siegmund, University of Southern California
18:
Gene Expression-Based Classification of Cancer Tumours via Penalized Probabilistic Principal Components Analysis
Wei Deng, University of Toronto ; Radu V Craiu, University of Toronto
19:
Benford's Law Based Outliers Detection for Population Stratification in Genotype Data
Yuan Yuan, Auburn University ; Nedret Billor, Auburn University; Asuman Seda Turkmen, The Ohio State University
20:
A Tight Spectral Clustering Algorithm for Bipartite Networks with Node Covariates
Yidan Sun
Oral Presentations
for this session.
104 !
Mon, 7/30/2018,
8:30 AM -
10:20 AM
CC-West 110
Visualization and Reproducibility - Challenges and Best Practices — Invited Papers
Section on Statistical Graphics , Section for Statistical Programmers and Analysts, Section on Statistical Learning and Data Science, Section on Statistical Computing, SSC
Organizer(s): Wendy L Martinez, Bureau of Labor Statistics
Chair(s): John L. Eltinge, United States Census Bureau
8:35 AM
EDA: A Historical Perspective and a Path Forward
Dianne Cook, Monash University
9:05 AM
The Extended Reproducibility Phenotype - Interactive Graphics Edition
Gabriel Becker, Genentech Research ; Vivek Ramaswamy, Genentech Research; Nolan Nichols, Genentech Research; Altaf Kassam, Genentech Research; Dinakar Kulkarni, Genentech Research
9:35 AM
A Unified Approach to Exploration, Authoring, and Communication with Reproducible Visualizations
Nils Gehlenborg, Harvard Medical School
10:05 AM
Floor Discussion
121
Mon, 7/30/2018,
8:30 AM -
10:20 AM
CC-West 212
SPEED: Data Expo — Contributed Speed
Section on Statistical Computing , Section on Statistical Graphics , Government Statistics Section , Section on Statistics and the Environment, Caucus for Women in Statistics
Chair(s): Wendy L Martinez, Bureau of Labor Statistics
Poster Presentations
for this session.
8:35 AM
Let's Talk About the Weather
Presentation
Jill Lundell, Utah State University ; Brennan Bean, Utah State University; Juergen Symanzik, Utah State University
8:40 AM
Modeling and Mapping Weather Forecast Accuracy
Queen Ikhelowa ; Darren Keeley, CSUEB
8:45 AM
Exploring Population Health with Fluctuations in Weather
Presentation
Brian Hochrein, IBM Watson Health
8:50 AM
Assessing Prediction Error in Traditional Weather Forecasts vs. a Data-Centric Approach
Presentation
Robert Garrett, Miami University ; Ryan Estep, Miami University; Nichole Rook, Miami University; Benjamin William Schweitzer, Miami University; Thomas Fisher, Miami University
8:55 AM
Verification, Diagnosis, and Adjustment of Current Temperature Forecasting System in the United States
Han-Yueh Lee, National Tsing Hua University ; Hsiao-Ting Lin, National Tsing Hua University
9:00 AM
Spatial Correlation in Weather Forecast Accuracy: A Functional Time Series Approach
Phillip Alexander Jang, Cornell University
9:05 AM
Should You Pay Attention to Daily Weather Forecast? An Exploration
Presentation
Dooti Roy, Boehringer Ingelheim Pharmaceuticals Inc. ; Gregory Vaughan, Bentley University; Jianan Hui, Boehringer Ingelheim Pharmaceuticals Inc.; Junxian Geng, Boehringer Ingelheim Pharmaceuticals Inc.
9:10 AM
The Impact of Bias and Uncertainty of Weather Forecasts on Storm Events
Presentation
Mary Frances Dorn, Los Alamos National Laboratory ; Kimberly Kaufeld, Los Alamos National Laboratory
9:15 AM
Uncertainty Quantification of Weather Forecasts
Yu Wang, University of British Columbia ; Gong Zhang, University of British Columbia; Boyi Hu, University of British Columbia; Ho Yin Ho, University of British Columbia
9:20 AM
Weather Forecasts: How Reliable Are They?
Presentation
Xuemao Zhang, East Stroudsburg University
9:30 AM
An Analysis on the Accuracy of Weather Forecasts
Presentation
Benjamin William Schweitzer, Miami University ; Nichole Rook, Miami University; Ryan Estep, Miami University; Robert Garrett, Miami University; Thomas Fisher, Miami University
9:35 AM
Do I Really Need a Jacket?
Presentation
Joe Watson, UBC ; Qiong Zhang, UBC; Daniel Dinsdale, The University of British Columbia
9:40 AM
The Myths About Weather Forecasting
Presentation
Ying (Daisy) Yu, Simon Fraser University ; Chuyuan (Cherlane) Lin, Simon Fraser University
9:45 AM
Do I Need to Check the Weather Forecast, or Is Yesterday's Weather a Reasonable Prediction?
Presentation
Rachel Harter, RTI International ; Kayla Nowak, RTI International; Nicole Mack, RTI International
9:50 AM
BENCHMARKING the EFFECTIVENESS of CATEGORICAL RESPONSE VARIABLE MODELS and THEIR VISUALIZATIONS on WEATHER DATA
Kristen Bystrom ; Zhi Yuh Ou Yang, Simon Fraser University; Lei Chen, Simon Fraser University
9:55 AM
Analysis of Weather Forecasting Data for Data Expo 2018
Presentation
Jordan Rodu, University of Virginia
10:00 AM
Exploring Spatiotemporal Patterns in Forecast Data
Presentation
Erin Howard, Oregon State University ; Matthew Higham
131
Mon, 7/30/2018,
8:30 AM -
10:20 AM
CC-West 117
Simulation and MCMC — Contributed Papers
Section on Statistical Computing
Chair(s): Ruth Hummel, SAS Institute, JMP Division
8:35 AM
An Exact Local Bouncy Particle Sampler Combined with Hamiltonian Monte Carlo Algorithms for Continuous Time Markov Chains
Presentation
Tingting Zhao, University of British Columbia ; Alexandre Bouchard-Côté, University of British Columbia
8:50 AM
A Direct Quantile Regression
Rachel Morris, Brock University ; Mei Ling Huang, Brock University
9:05 AM
Evaluating Sufficient Bootstrapping for Confidence Interval Estimates: a Simulation Approach
Khairul Islam, Eastern Michigan University ; Tanweer Shapla, Eastern Michigan University
9:20 AM
A Resampling Approach to Assessing Solution Quality in Stochastic Optimization
Huajie Qian, Columbia University ; Henry Lam, Columbia University
9:35 AM
The CBD-O Model for Modeling Obesity Prevalence
Presentation
Tatjana Miljkovic, Miami University ; Seonjin Kim, Miami University
9:50 AM
Variational Approximation for Importance Sampling
Presentation
Xiao Su, University of Illinois at Urbana Champaign ; Yuguo Chen, University of Illinois at Urbana-Champaign
10:05 AM
Floor Discussion
166
Mon, 7/30/2018,
10:30 AM -
12:20 PM
CC-West 213
SPEED: Topics in Bayesian Analysis — Contributed Speed
Section on Bayesian Statistical Science , Section on Statistical Computing
Chair(s): Bettina Grün, Johannes Kepler Universität
Poster Presentations
for this session.
10:35 AM
Variable Selection with Missing Data Imputation in the High-Dimensional Setting
Presentation
Soeun Kim, The University of Texas Health Science Center at Houston ; Yunxi Zhang, The University of Texas Health Science Center at Houston
10:40 AM
Geometric Sensitivity Measures for Nonparametric Bayesian Models in Density Estimation
Presentation
Abhijoy Saha, The Ohio State University ; Sebastian Kurtek, The Ohio State University; Karthik Bharath, The University of Nottingham
10:45 AM
Using Modified Competitive Swarm Optimizer to Find D-Optimal Designs for Complicated Logistic Models
Zizhao Zhang, UCLA ; Weng Kee Wong, UCLA
10:50 AM
Uncertainty in the Design Stage of Two-Stage Bayesian Propensity Score Analysis
Shirley Liao
10:55 AM
A Theoretical Framework for Bayesian Nonparametric Regression: Orthonormal Random Series and Rates of Contraction
Presentation
Fangzheng Xie, Johns Hopkins University ; Wei Jin, Johns Hopkins University; Yanxun Xu, Johns Hopkins University
11:00 AM
A Bayesian Semiparametric Joint Model for Longitudinal and Survival Data
Pengpeng Wang, Florida State University ; Jonathan R. Bradley, Florida State University; Elizabeth H. Slate, Florida State University
11:05 AM
Pseudo-Marginal Markov Chain Monte Carlo via Random Riemann Sums for Stochastically Scaled Gaussian Vectors
Patrick Muchmore
11:10 AM
A Bayesian Model Selection Approach to Multiple Comparisons
Presentation
Javier E. Flores, University of Iowa ; Andrew Neath, SIU Edwardsville; Joseph Cavanaugh, University of Iowa
11:20 AM
Melded Bayesian Inference for Stochastic Theoretical Models with Applications in Agent Based Modeling
Presentation
Mark Dawkins
11:35 AM
Bayesian Cumulative Probability Models for Continuous Response Variables
Presentation
Nathan Thomas James, Vanderbilt University ; Frank Harrell, Vanderbilt University, Dept of Biostatistics; Bryan E Shepherd, Vanderbilt University School of Medicine
11:40 AM
Bayesian Modular and Multiscale Regression
Presentation
Michele Peruzzi ; David B Dunson, Duke University
11:45 AM
Bayesian Forecasting and Dynamic Modeling of Physical Processes in Industrial Hygiene
Presentation
Nada Abdalla, UCLA ; Sudipto Banerjee, UCLA School of Public Health; Gurumurthy Ramachandran, John Hopkins University; Susan Arnold, University of Minnesota
11:50 AM
Combining Predictive Mean Matching with the Penalized Spline of Propensity Prediction Method When Performing Multiple Imputation
Presentation
Jay Xu ; Roee Gutman, Brown University
11:55 AM
Dose Finding Methods Using Two Endpoints in Early Clinical Studies
Presentation
Kyounghwa Bae, Janssen Research & Development, LLC ; Zhentao Tong, North Carolina State University ; Vladimir Dragalin, Janssen R&D
12:00 PM
Bayesian Model Selection for Markov Chains Using Sparse Probability Vectors
Matthew Heiner, UC Santa Cruz ; Athanasios Kottas, UC Santa Cruz; Stephan Munch, NOAA
12:05 PM
A Combinatoric Search for Clustered Levels in Categorical Predictors via Bayesian Model Selection
Presentation
Thomas Metzger, Virginia Tech ; Christopher Franck, Virginia Tech
12:10 PM
Uncertainty in Probabilistic Weighted Multidimensional Scaling
Presentation
Lata Kodali ; Leanna House, Virginia Tech
167 *
Mon, 7/30/2018,
10:30 AM -
12:20 PM
CC-West 114
Statistical Computing and Statistical Graphics: Student Paper Award and Chambers Statistical Software Award — Contributed Papers
Section on Statistical Computing , Section on Statistical Graphics
Chair(s): Hadley Wickham, RStudio
10:35 AM
Theory Informs Practice: Smoothing Parameters Selection for Smoothing Spline ANOVA Models in Large Samples
Xiaoxiao Sun, University of Georgia ; Wenxuan Zhong, University of Georgia; Ping Ma, University of Georgia
10:50 AM
MM Algorithms for Variance Components Models
Liuyi Hu, North Carolina State University ; Hua Zhou, UCLA; Jin Zhou, University of Arizona; Kenneth Lange, UCLA
11:05 AM
BRISC: Bootstrap for Rapid Inference on Spatial Covariances
Arkajyoti Saha, Johns Hopkins Bloomberg School of Public Health ; Abhi Datta, Johns Hopkins Bloomberg School of Public Health
11:20 AM
Calendar-Based Graphics for Visualizing People's Daily Schedules
Earo Wang, Monash University ; Dianne Cook, Monash University; Rob J Hyndman, Monash University
11:35 AM
Edward: a Library for Probabilistic Machine Learning and Statistics
Dustin Tran, Columbia University ; David Blei, Columbia University
11:50 AM
Liftr: An R Package for Persistent Reproducible Research
Presentation
Nan Xiao, Central South University
12:05 PM
Floor Discussion
176
Mon, 7/30/2018,
10:30 AM -
12:20 PM
CC-West 112
Modeling — Contributed Papers
Section on Statistical Computing
Chair(s): Maryclare Griffin, University of Washington
10:35 AM
Bayesian Emulation and Calibration of an Individual-Based Model Simulation of Microbial Communities
Presentation
Oluwole Oyebamiji, Newcastle University ; Darren James Wilkinson, Newcastle University
10:50 AM
The Posterior Service Time in an M/G/1 Queue with a Workload Barrier and Extreme Prior Service Times
Percy Brill, University of Windsor ; Mei Ling Huang, Brock University
11:05 AM
Topic Models for Medical Prescription Fraud and Abuse Detection
Presentation
Tahir Ekin, Texas State University ; Babak Zafari, Babson College
11:20 AM
Detection of Genetic Trends Related to Ecoclines
Blair Sterba-Boatwright, Texas A&M University-Corpus Christi ; Christopher Bird, Texas A&M University-Corpus Christi
11:35 AM
Dealing with Methodological Issues in the Functional Data Analysis of Actigraphy Data
Stephen W. Looney, Augusta University ; William Vaughn McCall, Augusta University; Jordan S. Lundeen, BlueChoice HealthPlan of South Carolina
11:50 AM
On Nonparametric Quantile Regression
Jenny Tieu, Brock University
12:05 PM
Mean-Parametrized Conway-Maxwell-Poisson Regression Models for Dispersed Counts
Ho Ting Fung, Macquarie University ; Alan Huang, University of Queensland; Aya Alwan, Macquarie University; Justin Wishart, Macquarie University
199
Mon, 7/30/2018,
11:35 AM -
12:20 PM
CC-West Hall B
SPEED: Data Expo — Contributed Poster Presentations
Section on Statistical Computing , Section on Statistical Graphics , Government Statistics Section , Section on Statistics and the Environment
Chair(s): Paul McNicholas, McMaster University
Oral Presentations
for this session.
21:
Let's Talk About the Weather
Jill Lundell, Utah State University ; Brennan Bean, Utah State University; Juergen Symanzik, Utah State University
22:
Modeling and Mapping Weather Forecast Accuracy
Queen Ikhelowa ; Darren Keeley, CSUEB
23:
Exploring Population Health with Fluctuations in Weather
Brian Hochrein, IBM Watson Health
24:
Assessing Prediction Error in Traditional Weather Forecasts vs. a Data-Centric Approach
Robert Garrett, Miami University ; Ryan Estep, Miami University; Nichole Rook, Miami University; Benjamin William Schweitzer, Miami University; Thomas Fisher, Miami University
25:
Verification, Diagnosis, and Adjustment of Current Temperature Forecasting System in the United States
Han-Yueh Lee, National Tsing Hua University ; Hsiao-Ting Lin, National Tsing Hua University
26:
Spatial Correlation in Weather Forecast Accuracy: A Functional Time Series Approach
Phillip Alexander Jang, Cornell University
27:
Should You Pay Attention to Daily Weather Forecast? An Exploration
Dooti Roy, Boehringer Ingelheim Pharmaceuticals Inc. ; Gregory Vaughan, Bentley University; Jianan Hui, Boehringer Ingelheim Pharmaceuticals Inc.; Junxian Geng, Boehringer Ingelheim Pharmaceuticals Inc.
28:
The Impact of Bias and Uncertainty of Weather Forecasts on Storm Events
Mary Frances Dorn, Los Alamos National Laboratory ; Kimberly Kaufeld, Los Alamos National Laboratory
29:
Uncertainty Quantification of Weather Forecasts
Yu Wang, University of British Columbia ; Gong Zhang, University of British Columbia; Boyi Hu, University of British Columbia; Ho Yin Ho, University of British Columbia
30:
Weather Forecasts: How Reliable Are They?
Xuemao Zhang, East Stroudsburg University
31:
An Analysis on the Accuracy of Weather Forecasts
Benjamin William Schweitzer, Miami University ; Nichole Rook, Miami University; Ryan Estep, Miami University; Robert Garrett, Miami University; Thomas Fisher, Miami University
32:
Do I Really Need a Jacket?
Joe Watson, UBC ; Qiong Zhang, UBC; Daniel Dinsdale, The University of British Columbia
33:
Applying functional data analysis and clustering methods on weather forecast data in the U.S.
Ying (Daisy) Yu, Simon Fraser University ; Chuyuan (Cherlane) Lin, Simon Fraser University
34:
Do I Need to Check the Weather Forecast, or Is Yesterday's Weather a Reasonable Prediction?
Rachel Harter, RTI International ; Kayla Nowak, RTI International; Nicole Mack, RTI International
35:
BENCHMARKING the EFFECTIVENESS of CATEGORICAL RESPONSE VARIABLE MODELS and THEIR VISUALIZATIONS on WEATHER DATA
Kristen Bystrom ; Zhi Yuh Ou Yang, Simon Fraser University; Lei Chen, Simon Fraser University
36:
Analysis of Weather Forecasting Data for Data Expo 2018
Jordan Rodu, University of Virginia
37:
Exploring Spatiotemporal Patterns in Forecast Data
Erin Howard, Oregon State University ; Matthew Higham
Oral Presentations
for this session.
212 * !
Mon, 7/30/2018,
2:00 PM -
3:50 PM
CC-West 109
An Emerging Ecosystem for Data Science/Statistics Education — Invited Papers
Section on Statistical Education , Section on Statistical Computing, SSC, Business Analytics/Statistics Education Interest Group
Organizer(s): Albert Y. Kim, Smith College
Chair(s): Albert Y. Kim, Smith College
2:05 PM
Version Control: The Gain You Get for Your Pain
Presentation
Jennifer Bryan, RStudio, University of British Columbia
2:25 PM
Using Data to Drive Curriculum Development
Presentation
Chester Ivan Ismay, DataCamp
2:45 PM
Authoring and Utilizing Open Source, Reproducible Statistics/Data Science Textbooks
Presentation
Alicia A Johnson, Macalester College
3:05 PM
Aligning Inference with the Tidyverse: Development of the Infer Package
Presentation 1
Presentation 2
Andrew Paul Bray, Reed College
3:25 PM
Streamline Your Class with RStudio
Presentation
Garrett Grolemund, RStudio Inc.
3:45 PM
Floor Discussion
253
Mon, 7/30/2018,
2:00 PM -
3:50 PM
CC-West Hall B
Contributed Poster Presentations: Section on Statistical Computing — Contributed Poster Presentations
Section on Statistical Computing
Chair(s): Paul McNicholas, McMaster University
1:
Stratified Over Representative K-Folds Cross-Validation
William Franz Lamberti, George Mason University
2:
A "divide and Conquer" Approach to Estimating Optimal Penalty Parameter in Functional Tikhonov-Regularized Regression Model via Leave-One-Out Cross-Validation
Yichuan Wang, UC Davis ; Wolfgang Polonik, University of California, Davis; Alexander Aue, University of California, Davis
3:
Scdensity: An R Package for Shape-Constrained Kernel Density Estimation
Mark Wolters, Shanghai Center for Mathematical Sciences
4:
Statistical Techniques to Improve Random Projections and Other Similar Algorithms
Keegan Kang, Singapore University Of Technology And Design ; Weipin Wong, Singapore University Of Technology and Design; Haikal Yeo, Independent
7:
Caveats on Data Cloning
Brian Zaharatos, University of Colorado Boulder
8:
A Probabilistic Tool for Assessing the Laplace Approximation: Review, Optimization, and GPU Implementation
Shaun McDonald, Simon Fraser University ; David Campbell, Simon Fraser University
11:
Estimation of Space-Time ARMAX Model
Dongping Fang, Zurich
12:
Combining Rules for F-Tests from Imputed Data
Ashok Chaurasia
14:
Continuous Tempering Through Path Sampling
Yuling Yao, Columbia Univ ; Andrew Gelman, Columbia University
15:
A Doubly Distributed and Integrated Method of Moments for High-Dimensional Correlated Data Analysis
Emily Charlotte Hector, University of Michigan ; Peter X.-K. Song, University of Michigan
17:
Widespread (Unintentional) Corruption of Cross Validation Techniques for Prediction Models on Imputed Data Sets
Milo Page, NC State University/JMP ; Alyson Wilson, North Carolina State University; Chris Gotwalt, JMP
18:
Bayesian Phylogenetic Inference via Particle Gibbs Sampler with Ancestor Sampling
Shijia Wang, Simon Fraser University ; Liangliang Wang, Simon Fraser University
19:
Sequential Modeling of Spatial Temporal Image Data
Shufei Ge, Simon Fraser University ; Shijia Wang, Simon Fraser University; Liangliang Wang, Simon Fraser University; Farouk Nathoo, University of Victoria
20:
Package MTEXO for Testing the Presence of Outliers in Exponential Samples
Chien-Tai Lin, Tamkang University
21:
SurvBoost: An R Package for High-Dimensional Variable Selection in the Stratified Proportional Hazards Model via Gradient Boosting
Emily Morris, University of Michigan ; Jian Kang, University of Michigan; Zhi He, University of Michigan; Yanming Li, University of Michigan; Yi Li, University of Michigan
23:
Feature Selection and Classification Using Sparse Envelope Model
Minji Lee, University of Florida ; Zhihua Su, University of Florida
24:
An Efficient Algorithm for Outlier Detection in Linear Mixed Model
Tzu-Ying Liu, University of Michigan ; Hui Jiang, University of Michigan
25:
Estimation of Individualized Decision Rules Based on an Optimized Covariate-Dependent Equivalent of Random Outcomes
Zhengling Qi, University of North Carolina, at Chapel Hill ; Ying Cui, University of Southern California; Yufeng Liu, University of North Carolina at Chapel Hill; Jong-Shi Pang, University of Southern California
26:
EAinference: An R Package for Simulation-Based Inference via Estimator Augmentation
Seunghyun Min, UCLA ; Qing Zhou, UCLA
27:
A Normalizing Function Emulation Approach for Doubly Intractable Distributions
Jaewoo Park, Pennsylvania State University ; Murali Haran, Penn State University
28:
SOLID: Sequential Optimization of Locally Important Dimensions
Munir Winkel, North Carolina State University ; Brian Reich, North Carolina State University; Jonathan Stallings, North Carolina State University; Curtis Storlie, Mayo Clinic
29:
Hierarchical-Block Conditioning Approximations for High-Dimensional Multivariate Normal Probabilities
Jian Cao, King Abdullah University of Science and Technology ; Marc G Genton, King Abdullah University of Science and Technology; David E Keyes, King Abdullah University of Science and Technology; George Turkiyyah, King Abdullah University of Science and Technology
30:
A Computational, Data-Driven Approach to Game Theory
Michael Alexander Smith, Purdue University ; Mark Daniel Ward, Purdue University; Deidra Coleman, Wofford College; Doug G Crabill, Purdue University; Jamylle Carter, Diablo College; Jennifer Travis, Lone Star College; Jack Henry Good, Purdue University; Bret Benesh, College of Saint Benedict and Saint John's University
260
Mon, 7/30/2018,
3:05 PM -
3:50 PM
CC-West Hall B
SPEED: Topics in Bayesian Analysis — Contributed Poster Presentations
Section on Bayesian Statistical Science , Section on Statistical Computing
Chair(s): Paul McNicholas, McMaster University
Oral Presentations
for this session.
21:
Variable Selection with Missing Data Imputation in the High-Dimensional Setting
Soeun Kim, The University of Texas Health Science Center at Houston ; Yunxi Zhang, The University of Texas Health Science Center at Houston
22:
Geometric Sensitivity Measures for Nonparametric Bayesian Models in Density Estimation
Abhijoy Saha, The Ohio State University ; Sebastian Kurtek, The Ohio State University; Karthik Bharath, The University of Nottingham
23:
Using Modified Competitive Swarm Optimizer to Find D-Optimal Designs for Complicated Logistic Models
Zizhao Zhang, UCLA ; Weng Kee Wong, UCLA
24:
Uncertainty in the Design Stage of Two-Stage Bayesian Propensity Score Analysis
Shirley Liao
25:
A Theoretical Framework for Bayesian Nonparametric Regression: Orthonormal Random Series and Rates of Contraction
Fangzheng Xie, Johns Hopkins University ; Wei Jin, Johns Hopkins University; Yanxun Xu, Johns Hopkins University
26:
A Bayesian Semiparametric Joint Model for Longitudinal and Survival Data
Pengpeng Wang, Florida State University ; Jonathan R. Bradley, Florida State University; Elizabeth H. Slate, Florida State University
27:
Pseudo-Marginal Markov Chain Monte Carlo via Random Riemann Sums for Stochastically Scaled Gaussian Vectors
Patrick Muchmore
28:
A Bayesian Model Selection Approach to Multiple Comparisons
Javier E. Flores, University of Iowa ; Andrew Neath, SIU Edwardsville; Joseph Cavanaugh, University of Iowa
30:
Melded Bayesian Inference for Stochastic Theoretical Models with Applications in Agent Based Modeling
Mark Dawkins
32:
Bayesian Cumulative Probability Models for Continuous Response Variables
Nathan Thomas James, Vanderbilt University ; Frank Harrell, Vanderbilt University, Dept of Biostatistics; Bryan E Shepherd, Vanderbilt University School of Medicine
33:
Bayesian Modular and Multiscale Regression
Michele Peruzzi ; David B Dunson, Duke University
34:
Bayesian Forecasting and Dynamic Modeling of Physical Processes in Industrial Hygiene
Nada Abdalla, UCLA ; Sudipto Banerjee, UCLA School of Public Health; Gurumurthy Ramachandran, John Hopkins University; Susan Arnold, University of Minnesota
35:
Combining Predictive Mean Matching with the Penalized Spline of Propensity Prediction Method When Performing Multiple Imputation
Jay Xu ; Roee Gutman, Brown University
36:
Dose Finding Methods Using Two Endpoints in Early Clinical Studies
Kyounghwa Bae, Janssen Research & Development, LLC ; Zhentao Tong, North Carolina State University ; Vladimir Dragalin, Janssen R&D
37:
Bayesian Model Selection for Markov Chains Using Sparse Probability Vectors
Matthew Heiner, UC Santa Cruz ; Athanasios Kottas, UC Santa Cruz; Stephan Munch, NOAA
38:
A Combinatoric Search for Clustered Levels in Categorical Predictors via Bayesian Model Selection
Thomas Metzger, Virginia Tech ; Christopher Franck, Virginia Tech
39:
Uncertainty in Probabilistic Weighted Multidimensional Scaling
Lata Kodali ; Leanna House, Virginia Tech
Oral Presentations
for this session.
274 *
Tue, 7/31/2018,
8:30 AM -
10:20 AM
CC-West 110
Random Forests in Big Data, Machine Learning and Statistics — Invited Papers
Section on Statistical Learning and Data Science , Section on Nonparametric Statistics, Section on Statistical Computing, SSC
Organizer(s): Ruoqing Zhu, University of Illinois Urbana-Champaign
Chair(s): Yifan Cui, University of North Carolina at Chapel Hill
8:35 AM
Standard Errors and Confidence Intervals for Variable Importance in Random Forest Regression, Classification, and Survival
Presentation
Hemant Ishwaran, University of Miami
8:55 AM
Random Forests for Big Data
Presentation
Jean-Michel Poggi, LMO, University Paris Sud ; Robin Genuer, ISPED, Univ. Bordeaux ; Nathalie Villa-Vialaneix, MIA-T, INRA of Toulouse; Christine Tuleau-Malot , University Nice, CNRS, LJAD
9:15 AM
Distributional Trees and Forests
Presentation
Lisa Schlosser, University of Innsbruck ; Torsten Hothorn, University of Zurich; Reto Stauffer, University of Innsbruck; Achim Zeileis, University of Innsbruck
9:35 AM
Beyond the Bagg: Consistent Importance Intervals for Random Forest Predictors
Lucas Mentch, University of Pittsburgh ; Giles Hooker, Cornell University
9:55 AM
On the Asymptotics of Tree-Based Survival Models
Presentation
Ruoqing Zhu, University of Illinois Urbana-Champaign ; Yifan Cui, University of North Carolina at Chapel Hill; Michael Kosorok, University of North Carolina at Chapel Hill; Mai Zhou, University of Kentucky
10:15 AM
Floor Discussion
281
Tue, 7/31/2018,
8:30 AM -
10:20 AM
CC-East 16
Clustering with Mixtures: Towards Emerging Data Types — Invited Papers
The Classification Society , SSC, Section on Statistical Computing
Organizer(s): Paul McNicholas, McMaster University
Chair(s): Brian C Franczak, MacEwan University
8:35 AM
On the Role of Transformations in Finite Mixture Modeling
Presentation
Volodymyr Melnykov, University of Alabama
9:00 AM
Variable Selection for Mixed Data Clustering: Application in Human Population Genomics
Presentation
Mohammed Sedki, Paris-Sud University
9:25 AM
A Bayesian Approach for Clustering Skewed Data Using Mixtures of Multivariate Normal-Inverse Gaussian Distributions
Presentation
Sanjeena Dang, Binghamton University (SUNY)
9:50 AM
Discussant: Jeffrey L Andrews, University of British Columbia Okanagan
10:15 AM
Floor Discussion
287
Tue, 7/31/2018,
8:30 AM -
10:20 AM
CC-West 210
Student Outcomes in Undergraduate Courses Using a Simulation-Based Inference Approach to Teaching Statistics — Topic Contributed Papers
Section on Statistical Education , Section on Statistical Computing, Business Analytics/Statistics Education Interest Group
Organizer(s): Nathan Tintle, Dordt College
Chair(s): Beth Chance, Cal Poly - San Luis Obispo
8:35 AM
Assessing Student Improvement in a Multi-Section Coordinated Simulation-Based Curriculum
Stacey Hancock, Montana State University
8:55 AM
Simulation-Based Inference in a Large, Online Intro Course: Meaningful Assessment with Minimal Grading
Presentation
Erin Blankenship, University of Nebraska
9:15 AM
Assessing Students' Strengths and Weaknesses in Simulation-Based Introductory Statistics Courses at the Graduate and Undergraduate Levels
Anelise Sabbag, Cal Poly State University
9:35 AM
Results from a Multi-Institution Study of the Progression and Retention of Student Learning Using Simulation-Based Inference
Presentation
Nathan Tintle, Dordt College
9:55 AM
Extending Simulation-Based Inference to a Conceptual Second Course in Statistics: Finding Meaning in a Multivariate World
Presentation
Karen McGaughey, Cal Poly State University
10:15 AM
Floor Discussion
288 *
Tue, 7/31/2018,
8:30 AM -
10:20 AM
CC-West 109
Genomical Is the New Astronomical: Big Data Algorithms and Applications in Genomics — Topic Contributed Papers
Section on Statistical Computing , Section on Statistics in Genomics and Genetics
Organizer(s): Min Zhang, Purdue University
Chair(s): Wendy Wong, Inova Translational Medicine Institute
8:35 AM
Cloud Computing Approaches to Genomic Data Science
Sean Davis, National Cancer Institute
8:55 AM
Improving the Value of Public Data with Recount2 and Phenotype Prediction
Presentation
Shannon Ellis, Johns Hopkins University, Bloomberg School of Public Health
9:15 AM
Analyzing Large Scale Genomics Data with Apache Spark and ADAM
Presentation
Frank Nothaft, Databricks
9:35 AM
Inferring Gene Regulatory Networks from a Population of Yeast Segregants
Presentation
Dabao Zhang, Purdue University
9:55 AM
Big Data Distributed System for Phenome and Genome Management and Analysis in a Large Health System
Wendy Wong, Inova Translational Medicine Institute ; Xinyue Liu, Inova Translational Medicine Institute; Prachi Kothiyal, Inova Translational Medicine Institute; Wei Zhu, Inova Translational Medicine Institute; Fang Zhou, Inova Translational Medicine Institute; Shan Gao, Inova Translational Medicine Insitute; Sakthi Madhappan, Inova Translational Medicine Institute; Lin Smith, Inova Translational Medicine Institute; Henry Hunter, Inova Translational Medicine Institute; Aaron Black, Inova Translational Medicine Institute; John F Deeken, Inova Translational Medicine Institute; John E Niederhuber, Inova Translational Medicine Institute
10:15 AM
Floor Discussion
342
Tue, 7/31/2018,
10:30 AM -
12:20 PM
CC-West 209
SPEED: Sports to Fire: Fascinating Applications of Statistics — Contributed Speed
Section on Statistics in Sports , SSC , Section on Statistics in Imaging, Section on Statistical Computing, Section on Statistical Consulting, Section on Statistical Learning and Data Science, Section on Statistics in Epidemiology, Statistical Auditing Interest Group, Transportation Statistics Interest Group, Section on Teaching of Statistics in the Health Sciences, Section for Statistical Programmers and Analysts
Chair(s): Bo Chen, University of Toronto
Poster Presentations
for this session.
10:35 AM
Claim-Level Models Using Statistical Learning Techniques and Risk Analysis
Presentation
Mathieu Pigeon, Université du Québec à Montréal ; Francis Duval, Université du Québec à Montréal
10:40 AM
Beach Volleyball Team Optimization
Presentation
Matthew Oehler, BYU
10:45 AM
Distributions of Time to First Spot Fire
Presentation
Trevor Thomson, Simon Fraser University
10:50 AM
Rao-Blackwellizing Field Goal Percentage in the NBA
Presentation
Daniel Daly-Grafstein, Simon Fraser University ; Luke Bornn, Sacramento Kings and Simon Fraser University
10:55 AM
Estimating Attendance at Non-Ticketed Non-Gated Events
Presentation
Carl Schwarz, Simon Fraser University
11:10 AM
Teaching Statistics Graduate Students the Importance of Reproducible Research
Presentation
Kristen McQuerry, University of Kentucky
11:15 AM
Shared and Study-Specific Dietary Patterns: a Novel Approach to Replicability and Validity
Roberta De Vito ; Carlo La Vecchia, Università degli Studi di Milano; Giovanni Parmigiani , Harvard T.H. Chan School of Public Health / Dana-Farber Cancer Institute; Valeria Edefonti, Università degli Studi di Milano
11:20 AM
Statistical Ethics and Challenging Substantial Errors in Statistical Methods and Results in a Prominent Peer Reviewed Economics Journal
Chris Barker, Statistical Planning and Analysis Services, Inc.
11:30 AM
To Bet or Not to Bet - the Modified Kelly Criteria
Presentation
Dani Chu, SFU Sports Analytics Club ; Yifan Wu, Simon Fraser University; Tim Swartz, Simon Fraser University
11:35 AM
The Home Run Spike of MLB 2017: Drop in Quality of Pitch (QOP) Is a Missing Factor
Presentation
Jason Wilson, Biola University
11:40 AM
An Application of Machine Learning for 3D IC Defect Detection
Presentation
Meihui Guo, National Sun Yat-Sen University ; Yu-Jung Huang, I-Shou University
11:50 AM
The Simple Story of Advanced NBA Metrics
Zach Fulker, University of Pittsburgh ; Tyler Folta, University of Pittsburgh; Lucas Mentch, University of Pittsburgh
11:55 AM
Application of Email Spam Filtering Algorithms to SMS Data
Presentation
Yishu Xue, University Of Connecticut
12:00 PM
MLB Rule IV Draft: Valuing Draft Pick Slots
Presentation
Anthony Cacchione, City College of New York
12:05 PM
Assessing the Impact of Practice Restriction Rules on Injury Rates in the National Football League (NFL)
Presentation
Zachary Binney, Rollins School of Public Health, Emory University ; Cecile Janssens, Rollins School of Public Health, Emory University; Kyle E Hammond, Emory University School of Medicine; Mitchel Klein, Rollins School of Public Health, Emory University; Michael Goodman, Emory University
353
Tue, 7/31/2018,
10:30 AM -
12:20 PM
CC-West 122
Data Science — Contributed Papers
Section on Statistical Computing
Chair(s): Brian Segal, Flatiron Health
10:35 AM
Dispatches from the Tidyverse
Michael Anderson, University of Texas, San Antonio
10:50 AM
A Grammar for Reproducible and Painless Extract-Transform-Load Operations on Medium Data
Presentation
Ben Baumer, Smith College
11:05 AM
Evolution of Statistical Software and Quantitative Methods
Brandon LeBeau, University of Iowa ; Ariel Aloe, University of Iowa
11:20 AM
Eye-Tracking in Practice: Results from a Study on Human Postures
Presentation
Juergen Symanzik, Utah State University ; Eric McKinney, Utah State University; Breanna Studenka, Utah State University
11:35 AM
KableExtra: Complex Table Made Easy
Hao Zhu, Institute for Aging Research ; Timothy Tsai, Institute for Aging Research; Thomas G Travison, Institute for Aging Research
11:50 AM
Collaborative Cognition for Commodity Price Prediction
Presentation
Manish Kataria, IBM Research, India ; Gyana Parija, IBM Research, India
12:05 PM
Floor Discussion
390 * !
Tue, 7/31/2018,
2:00 PM -
3:50 PM
CC-West Ballroom A
Accessing Resources from the Web in Data Analysis — Invited Papers
Section on Statistical Computing , Section for Statistical Programmers and Analysts, Section on Statistical Learning and Data Science
Organizer(s): Jennifer Bryan, RStudio, University of British Columbia
Chair(s): Jennifer Bryan, RStudio, University of British Columbia
2:05 PM
Harnessing the Power of the Web via R Clients for Web APIs
Lucy D'Agostino McGowan, Vanderbilt University
2:30 PM
What You Can, Can't, and Shouldn't Do with Social Media Data
Presentation
Rachael Tatman, --
2:55 PM
Writing Useful and Maintainable Client Libraries
Craig Citro, Google, Inc
3:20 PM
Harnessing the Power of Open Data on the Web
Presentation
Scott Chamberlain, University of California, Berkeley
3:45 PM
Floor Discussion
391 * !
Tue, 7/31/2018,
2:00 PM -
3:50 PM
CC-West 224
Statistical Advancements in Forestry, Ecology and Climate Modeling — Invited Papers
International Indian Statistical Association , Section on Statistics and the Environment, Section on Statistical Computing
Organizer(s): Abhi Datta, Johns Hopkins Bloomberg School of Public Health
Chair(s): Joshua Keller, Johns Hopkins Bloomberg School of Public Health
2:05 PM
Hierarchical Spatial Model for Creating Global Maps of Plant Trait Distribution
Abhi Datta, Johns Hopkins Bloomberg School of Public Health
2:30 PM
A Stochastic Generator of Global Monthly Wind Energy with Tukey G-and-H Autoregressive Processes
Marc G Genton, King Abdullah University of Science and Technology ; Jaehong Jeong, KAUST; Yuan Yan, KAUST; Stefano Castruccio, University of Notre Dame
2:55 PM
Bayesian Spatial Process Models for High-Dimensional Finite Population Sampling
Sudipto Banerjee, UCLA School of Public Health ; Alec Goldstein-Chan, University of California Los Angeles
3:20 PM
Large and Non-Stationary Spatial Fields: Quantifying Uncertainty in the Pattern Scaling of Climate Models
Douglas William Nychka, NCAR
3:45 PM
Floor Discussion
395 * !
Tue, 7/31/2018,
2:00 PM -
3:50 PM
CC-West 304/305
Statistical Models for High-Dimensional Computer Output — Topic Contributed Papers
Section on Statistics and the Environment , Section on Statistical Computing
Organizer(s): Stefano Castruccio, University of Notre Dame
Chair(s): Joseph Guinness, NC State University
2:05 PM
A Stochastic Approach for Downscaling Solar Irradiance Data Products
Presentation
Wenqi Zhang, University of Colorado at Boulder ; William Kleiber, University of Colorado
2:25 PM
Computer Model Calibration of Static Systems Using Sequential Monte Carlo Methods
Presentation
Murali Haran, Penn State University ; Ben Seiyon Lee, Penn State University; Klaus Keller, Penn State University
2:45 PM
Changes in Spatiotemporal Precipitation Patterns in Changing Climate Conditions
Presentation
Won Chang, University of Cincinnati ; Michael Stein, University of Chicago, Dept. of Statistics; Jiali Wang, Argonne National Laboratory; V. Rao Kotamarthi, Argonne National Laboratory; Elisabeth J. Moyer, University of Chicago
3:05 PM
Fusing Multiple Existing Space-Time Land Cover Products
Presentation
Amanda Hering, Baylor University ; Nicolás Rodríguez-Jeangros, Colorado School of Mines; John McCray, Colorado School of Mines; Timothy Kaiser, Colorado School of Mines
3:25 PM
Compressing Scientific Data: Reducing Storage While Preserving Information
Presentation
Dorit Hammerling, National Center for Atmospheric Research ; Joseph Guinness, NC State University; Allison Baker, National Center for Atmospheric Research
3:45 PM
Floor Discussion
403 * !
Tue, 7/31/2018,
2:00 PM -
3:50 PM
CC-West 118
The Power of Podcast: Promoting Statistics and Data Science in the Age of Social Media — Topic Contributed Panel
Section on Statistical Graphics , Biopharmaceutical Section, International Statistical Institute, Professional Issues and Visibility Council, Section on Statistical Computing
Organizer(s): Richard Zink, TARGET PharmaSolutions
Chair(s): Forrest Williamson, Eli Lilly
2:05 PM
Panel Discussion for the Power of Podcast: Promoting Statistics and Data Science in the Age of Social Media
Panelists:
Richard Zink, TARGET PharmaSolutions John Bailer, Miami University Katie Malone, Civis Analytics Kyle Polich, Data Skeptic
3:40 PM
Floor Discussion
435
Tue, 7/31/2018,
3:05 PM -
3:50 PM
CC-West Hall B
SPEED: Sports to Fire: Fascinating Applications of Statistics — Contributed Poster Presentations
Section on Statistics in Sports , SSC , Section on Statistics in Imaging, Section on Statistical Computing, Section on Statistical Consulting, Section on Statistical Learning and Data Science, Section on Statistics in Epidemiology, Statistical Auditing Interest Group, Transportation Statistics Interest Group, Section on Teaching of Statistics in the Health Sciences, Section for Statistical Programmers and Analysts
Chair(s): Paul McNicholas, McMaster University
Oral Presentations
for this session.
1:
Claim-Level Models Using Statistical Learning Techniques and Risk Analysis
Mathieu Pigeon, Université du Québec à Montréal ; Francis Duval, Université du Québec à Montréal
2:
Beach Volleyball Team Optimization
Matthew Oehler, BYU
3:
Distributions of Time to First Spot Fire
Trevor Thomson, Simon Fraser University
4:
Rao-Blackwellizing Field Goal Percentage in the NBA
Daniel Daly-Grafstein, Simon Fraser University ; Luke Bornn, Sacramento Kings and Simon Fraser University
5:
Estimating Attendance at Non-Ticketed Non-Gated Events
Carl Schwarz, Simon Fraser University
8:
Teaching Statistics Graduate Students the Importance of Reproducible Research
Kristen McQuerry, University of Kentucky
9:
Shared and Study-Specific Dietary Patterns: a Novel Approach to Replicability and Validity
Roberta De Vito ; Carlo La Vecchia, Università degli Studi di Milano; Giovanni Parmigiani , Harvard T.H. Chan School of Public Health / Dana-Farber Cancer Institute; Valeria Edefonti, Università degli Studi di Milano
10:
Statistical Ethics and Challenging Substantial Errors in Statistical Methods and Results in a Prominent Peer Reviewed Economics Journal
Chris Barker, Statistical Planning and Analysis Services, Inc.
11:
To Bet or Not to Bet - the Modified Kelly Criteria
Dani Chu, SFU Sports Analytics Club ; Yifan Wu, Simon Fraser University; Tim Swartz, Simon Fraser University
12:
The Home Run Spike of MLB 2017: Drop in Quality of Pitch (QOP) Is a Missing Factor
Jason Wilson, Biola University
13:
An Application of Machine Learning for 3D IC Defect Detection
Meihui Guo, National Sun Yat-Sen University ; Yu-Jung Huang, I-Shou University
15:
The Simple Story of Advanced NBA Metrics
Zach Fulker, University of Pittsburgh ; Tyler Folta, University of Pittsburgh; Lucas Mentch, University of Pittsburgh
16:
Application of Email Spam Filtering Algorithms to SMS Data
Yishu Xue, University Of Connecticut
17:
MLB Rule IV Draft: Valuing Draft Pick Slots
Anthony Cacchione, City College of New York
18:
Assessing the Impact of Practice Restriction Rules on Injury Rates in the National Football League (NFL)
Zachary Binney, Rollins School of Public Health, Emory University ; Cecile Janssens, Rollins School of Public Health, Emory University; Kyle E Hammond, Emory University School of Medicine; Mitchel Klein, Rollins School of Public Health, Emory University; Michael Goodman, Emory University
Oral Presentations
for this session.
453 !
Wed, 8/1/2018,
8:30 AM -
10:20 AM
CC-West 215/216
Novel Theory and Methods in Big Data Analytics — Invited Papers
Section on Statistical Learning and Data Science , Section on Physical and Engineering Sciences, Section on Statistical Computing, SSC
Organizer(s): Ping Ma, University of Georgia
Chair(s): Ping Ma, University of Georgia
8:35 AM
Statistical Inference for Big Data via Optimal Subsampling
Presentation
HaiYing Wang, University of Connecticut
9:00 AM
Statistical Leverage and Its Usage in Variable Screening
Wenxuan Zhong, University of Georgia ; Yiwen Liu, University of Georgia; Peng Zeng, Auburn University
9:25 AM
Complex Interaction Modeling with Liquid Association
Presentation
Ker-Chau Li, Institute of Statistical Science, Academia Sinica
9:50 AM
Iterative Random Forests (IRF) to Discover Predictive and Stable High-Order Interactions
Bin Yu, UC Berkeley ; Sumanta Basu, Cornell University; Karl Kumbier, UC Berkeley; Ben Brown, LBNL and University of Birmingham
10:15 AM
Floor Discussion
456 !
Wed, 8/1/2018,
8:30 AM -
10:20 AM
CC-West 306
Introductory Lectures on Recent Advancements in Computational Statistics — Invited Papers
Statistics Surveys Online Journal , Section on Statistical Graphics, Section on Statistical Computing, SSC
Organizer(s): Wendy L Martinez, Bureau of Labor Statistics
Chair(s): Richard Lockhart, Simon Fraser University
8:35 AM
Visualizing Data Using T-SNE
Laurens van der Maaten, Facebook AI Research
9:00 AM
Beyond the Bayesian Lasso: a Review of Continuous Shrinkage Priors
Presentation
Maryclare Griffin, University of Washington
9:25 AM
Topological Data Analysis: Case Studies and an Applied Overview
Adam Jaeger, Indiana University
9:50 AM
Discussant: Edoardo M Airoldi , Harvard University
10:10 AM
Floor Discussion
471 *
Wed, 8/1/2018,
8:30 AM -
10:20 AM
CC-West 205
Innovative and Effective Teaching for Large-Enrollment Statistics and Data Science Courses — Topic Contributed Papers
Section on Statistical Education , Section on Teaching of Statistics in the Health Sciences, Section on Statistical Computing, Business Analytics/Statistics Education Interest Group
Organizer(s): Matthew D Beckman, Pennsylvania State University
Chair(s): Kari Lock Morgan, Pennsylvania State University
8:35 AM
Effective Pedagogy in Large-Enrollment Statistics Courses
Presentation
Matthew D Beckman, Pennsylvania State University
8:55 AM
Large-Scale Interactives for Large-Enrolment Courses
Anna Fergusson, The University of Auckland
9:15 AM
Teaching Data Science as a First Statistics Course to 1,000 Students Per Semester
John DeNero, University of California, Berkeley ; Ani Adhikari, University of California, Berkeley
9:35 AM
Productive Struggle Toward Statistical Thinking: Fostering a Student-Active Learning Environment in a Large Class
Catherine Case
9:55 AM
Discussant: Chris Wild, University of Auckland
10:15 AM
Floor Discussion
486
Wed, 8/1/2018,
8:30 AM -
10:12 AM
CC-West 219
Computing Kaleidoscope — Contributed Papers
Section on Statistical Computing
Chair(s): Jianfeng Ding, SAS Institute
8:35 AM
A Transformation-Based K-Means Algorithm for Skewed Data
Presentation
Nicholas S Berry, Iowa State University ; Ranjan Maitra, Iowa State University
9:05 AM
Mixtures of Poisson Regressions with Measurement Errors
Presentation
Xiaoqiong Fang ; Derek S. Young, University of Kentucky
9:20 AM
Exact Solutions To Linear Systems Using Rational Arithmetic And Conversions
Presentation
Timothy Hall, PQI Consulting
9:35 AM
On Consistency and Limitation of Parametric and Non-parametric Paired Sample Tests
Tanweer Shapla, Eastern Michigan University ; Khairul Islam, Eastern Michigan University
9:50 AM
Nearly Best Confidence Intervals
Presentation
George Terrell, VA Poly. Inst. & State Univ.
10:05 AM
PROFILE MM ALGORITHMS for GAMMA FRAILTY MODELS
Presentation
Xifen Huang, University of Hong Kong ; jinfeng Xu, The University of Hong Kong
497 * !
Wed, 8/1/2018,
10:30 AM -
12:20 PM
CC-West 121
Cloud and Distributed Computing for Statisticians — Invited Papers
Section on Statistical Computing , SSC
Organizer(s): Ryan Hafen, Hafen Consulting, LLC
Chair(s): Ryan Hafen, Hafen Consulting, LLC
10:35 AM
The CloudyR Project: Statistical Cloud Computing in R with Amazon and Google
Thomas J. Leeper, London School of Economics
11:05 AM
Distributed Data Science with Sparklyr
Javier Luraschi, RStudio
11:35 AM
Distributed Machine Learning with H2O
Presentation
Navdeep Gill, H2O.ai
12:05 PM
Floor Discussion
571 !
Wed, 8/1/2018,
2:00 PM -
3:50 PM
CC-West 115
Statistical Signal Processing Applied to Physical Activity Research — Topic Contributed Papers
Section on Statistical Computing , Section on Statistical Learning and Data Science, Section on Nonparametric Statistics, Quality and Productivity Section
Organizer(s): Marcin Straczkiewicz, School of Public Health-Bloomington, Indiana University
Chair(s): Vadim Zipunnikov, Johns Hopkins Bloomberg School of Public Health
2:05 PM
A Functional Data Analysis Framework for Objectively Measured Physical Activity by Accelerometers
Presentation
Chongzhi Di, Fred Hutchinson Cancer Research Center
2:25 PM
Unsupervised Clustering of Physical Activities and Its Application in Health Studies
Presentation 1
Presentation 2
Jiawei Bai, Johns Hopkins University ; Ciprian Crainiceanu, Johns Hopkins University
2:45 PM
Classification of Walking and Stair Climbing Based on Raw Accelerometry Data
Presentation
William Fadel, Indiana University ; Jacek K Urbanek, Johns Hopkins University; Steven R Albertson, Indiana University ; Xiaochun Li, Indiana University; Andrea K Chomistek, Indiana University; Jaroslaw Harezlak, Indiana University Bloomington
3:05 PM
Continuous Movelet Transformation in Application to Individual Walking Strides Segmentation in Accelerometry Data
Marta Karas, Johns Hopkins Bloomberg SPH ; Jaroslaw Harezlak, Indiana University Bloomington; Marcin Straczkiewicz, School of Public Health-Bloomington, Indiana University; William Fadel, Indiana University; Ciprian Crainiceanu, Johns Hopkins University; Jacek K Urbanek, Johns Hopkins University
3:25 PM
Advanced Signal Processing Methods in Walking and Body-Posture Detection in Observational Studies
Presentation
Marcin Straczkiewicz, School of Public Health-Bloomington, Indiana University ; Jacek K Urbanek, Johns Hopkins University; Vadim Zipunnikov, Johns Hopkins Bloomberg School of Public Health; Nancy Glynn, University of Pittsburgh Graduate School of Public Health; Tamara Harris, National Institute on Aging; Ciprian Crainiceanu, Johns Hopkins University; Jaroslaw Harezlak, Indiana University Bloomington
3:45 PM
Floor Discussion
581
Wed, 8/1/2018,
2:00 PM -
3:50 AM
CC-West 114
Recent Advances in High-Dimensional Data Estimation and Prediction — Contributed Papers
Section on Statistical Computing
Chair(s): Chunyan Cai, UT Health Science Center at Houston
2:05 PM
Improved Robust Estimation of the Residual Scale in High-Dimensional Problems with the Adaptive Elastic Net S-Estimator for Efficient Robust Penalized Linear Regression Methods
David Kepplinger, University of British Columbia ; Ezequiel Smucler, University of British Columbia; Gabriela V. Cohen Freue, University of British Columbia
2:20 PM
Inference on the Future State of the Climate Through Combining Multiple Interdependent Climate Model Outputs with Observations Using Bayesian Hierarchical Models
Huang Huang, SAMSI ; Dorit Hammerling, National Center for Atmospheric Research; Bo Li, University of Illinois at Urbana-Champaign; Richard Smith, Statistical Applied Mathematical Sciences Institute
2:35 PM
A Fault Prediction Method for Temporal Data
Emanuele Gramuglia, University of Oslo
2:50 PM
Sure Independent Screening for Ultra-high Longitudinal Data
Presentation
Yafei Zhang, Virginia Tech ; Pang Du, Virginia Tech
3:05 PM
Analog Forecasting of Snow Storage in the Western United States Using a Bayesian Hierarchical Framework
David Clancy, Colorado State University ; Mevin Hooten, Colorado State University
3:20 PM
Floor Discussion
593
Wed, 8/1/2018,
2:00 PM -
3:50 PM
CC-West 112
Computationally Intensive and Machine Learning Methods — Contributed Papers
Section on Statistical Computing
Chair(s): Nicholas Clark, Iowa State University
2:05 PM
Robust Outlier Detection for Low and High-Dimensional Neuroimaging Data with Principal Components Analysis and Split-Half Resampling
Presentation
Derek Beaton, Baycrest Health Sciences ; Kelly M Sunderland, Baycrest Health Sciences; Abiramy Uthirakumaran, Baycrest Health Sciences; Stephen R Arnott, Baycrest Health Sciences; Robert Bartha, Robarts Research; Sandra E Black, Sunnybrook Health Sciences Centre; Leanne Casaubon, Krembil Research Institute; Morris Freedman, Baycrest Health Sciences; Richard H Swartz, Sunnybrook Health Sciences Centre; Sean Symons, Sunnybrook Health Sciences Centre; ONDRI Investigators, ONDRI; Malcolm A Binns, Baycrest Health Sciences; Stephen C Strother, Baycrest Health Sciences
2:35 PM
Display Advertising: Estimating Conversion Probability Efficiently
Abdollah Safari, Simon Fraser University ; Rachel MacKay Altman, Simon Fraser University; Thomas Loughin, Simon Fraser University
2:50 PM
Frequentist Decision-Theoretic Optimal Design with Application to Nonlinear Models
Meshayil Alsolmi
3:05 PM
Weighted Stochastic Gradient Descent Algorithm
Xueying Tang, Columbia University ; Zhi Wang, Columbia University; Jingchen Liu, Columbia University
3:20 PM
New Computational Methods for Non/Semiparametric Quantile Regression Models
Bo Kai, College of Charleston ; Mian Huang, Shanghai University of Finance and Economics; Weixin Yao, University of California, Riverside; Yuexiao Dong, Temple University
3:35 PM
Floor Discussion
613 !
Thu, 8/2/2018,
8:30 AM -
10:20 AM
CC-West 209
Recent Advances in Network Data Inference — Topic Contributed Papers
Social Statistics Section , Section on Statistical Learning and Data Science, Section on Statistical Computing, SSC
Organizer(s): Emma Jingfei Zhang, University of Miami
Chair(s): Emma Jingfei Zhang, University of Miami
8:35 AM
Global Spectral Clustering in Dynamic Networks
David Choi, Carnegie Mellon University ; Fuchen Liu, Carnegie Mellon University; Kathryn Roeder, Carnegie Mellon University
8:55 AM
Community Detection with Covariate Information
Presentation
Yang Feng, Columbia University
9:15 AM
Latent Space Approaches to Community Detection in Dynamic Networks
Presentation
Yuguo Chen, University of Illinois at Urbana-Champaign ; Daniel Sewell, University of Iowa
9:35 AM
Dynamic Community Detection for Multiple Networks
Shirshendu Chatterjee, City University of New York
9:55 AM
Post-Stratification in Network Driven Sampling
Presentation
Yilin Zhang, University of Wisconsin-Madison ; Sebastien Roch, University of Wisconsin-Madison; Karl Rohe, University of Wisconsin-Madison
10:15 AM
Floor Discussion
621 * !
Thu, 8/2/2018,
8:30 AM -
10:20 AM
CC-West 224
Quantum Computing: Algorithms and Applications — Topic Contributed Papers
Section on Statistical Computing , Section on Physical and Engineering Sciences, Quantum Computing in Statistics and Machine Learning
Organizer(s): Sergei Leonov, ICON Clinical Research
Chair(s): John Kelly, QxBranch
8:35 AM
Leveraging Adiabatic Quantum Computation for Election Forecasting
Maxwell Henderson, QxBranch
8:55 AM
Angular Momentum Recoupling and Quantum Computing
Presentation
Ali Eskandarian
9:15 AM
On Implementation of Iterative Algorithms of Model-Based Optimal Experimental Design on a Quantum Computer
Sergei Leonov, ICON Clinical Research
9:35 AM
Discussant: Peter Wittek, Barcelona Institute of Science and Technology & University of Toronto
9:55 AM
Discussant: Valerii Fedorov, ICON Clinical Research
10:15 AM
Floor Discussion
642 * !
Thu, 8/2/2018,
10:30 AM -
12:20 PM
CC-West 301
Data Science for Social Good — Invited Papers
Section on Statistical Learning and Data Science , Statistics and Public Policy, Social Statistics Section, Section on Statistical Computing, Survey Research Methods Section
Organizer(s): Gayle S Bieler, RTI International
Chair(s): Gayle S Bieler, RTI International
10:35 AM
Data for Good: Designing for Impact
Presentation
Jake Porway, DataKind
11:00 AM
Data Science + Social Science: Using Data Science to Track Arrest-Related Deaths in the US
Presentation
Duren Banks, RTI International ; Peter Baumgartner, RTI International; Michael G. Planty, RTI International
11:25 AM
A Model for Prioritizing Interventions for People at Risk of Incarceration
Presentation
Erika Salomon, University of Chicago
11:50 AM
Discussant: Craig A. Hill, RTI International
12:15 PM
Floor Discussion
644 * !
Thu, 8/2/2018,
10:30 AM -
12:20 PM
CC-West 211
Statistical Computing on Parallel Architectures — Invited Papers
Section on Statistical Computing , Section on Physical and Engineering Sciences, Section for Statistical Programmers and Analysts, SSC
Organizer(s): George Ostrouchov, Oak Ridge National Laboratory
Chair(s): Norman Matloff, University of California at Davis
10:35 AM
Success with OpenMP in R Package Data.table
Matt Dowle, H2O.ai
10:55 AM
Deferred Evaluation for Scalable Computing in R
Presentation
Michael Lawrence, Genentech
11:15 AM
The pbdR Project: Distributed Computing with R
Wei-Chen Chen, FDA/CDRH ; Drew Schmidt, ORNL; George Ostrouchov, Oak Ridge National Laboratory
11:35 AM
Automatic Parallelization of R Code
Presentation
Clark Fitzgerald, University of California, Davis
11:55 AM
Discussant: George Ostrouchov, Oak Ridge National Laboratory
12:15 PM
Floor Discussion
651 * !
Thu, 8/2/2018,
10:30 AM -
12:20 PM
CC-West 203
Expanding the Tent: Undergraduate Majors in Data Science — Invited Papers
Section on Statistical Education , Section on Statistical Learning and Data Science, Section on Statistical Computing, SSC
Organizer(s): Ben Baumer, Smith College
Chair(s): Ben Baumer, Smith College
10:35 AM
Dismantling Math, Stats, and CS Silos: PCMI Guidelines for Undergraduate Majors in Data Science
Presentation
Albert Y. Kim, Smith College
10:50 AM
Pathways Through the Major in Statistical and Data Science at Smith
Presentation
Randi L. Garcia, Smith College
11:05 AM
Herding Cats: Pros and Cons of a Large-Team Approach to Data Science at a Major Research University
David Hunter, Penn State University
11:20 AM
Designing a Group Major in Data Science
Deborah Nolan, University of California, Berkeley
11:35 AM
Discussant: Joseph Blitzstein, Harvard University
11:50 AM
Discussant: Mine Cetinkaya-Rundel, Duke University
12:05 PM
Floor Discussion
668 * !
Thu, 8/2/2018,
10:30 AM -
12:20 PM
CC-West 112
Best Practices for Programming and Analysis — Contributed Papers
Section for Statistical Programmers and Analysts , Section on Statistical Computing
Chair(s): Ying Su
10:35 AM
Adapr: An R Package for an Accountable Data Analysis Process
Jonathan Gelfond, University of Texas Health San Antonio ; Martin Goros, UT Health San Antonio; Brian Hernandez, UT Health San Antonio; Alex Bokov, UT Health San Antonio
10:50 AM
Three Little Models and the Big Bad Data: a Three-Model Approach to Causal Analysis with Observational Clinical Data
Presentation
Kayla Nowak, RTI International ; Tracy Nolen, RTI International
11:05 AM
Detoxing Toxicity Analysis: Creating Analysis-Ready One-Proc Away ADLB
Presentation
Ilya Krivelevich, Eisai ; Ran Xie, Eisai Inc; Simon Lin, Eisai Inc
11:20 AM
Leveraging "Medium-Sized" Data for Statistical Inference and Model Estimation of Data Gaps in International Energy Statistics Using R
Glendon Haynes, Energy Information Administration
11:35 AM
Bayesian Reversible-Jump Sequential Variable Selection Methodology for High-Dimensional Arrays of Paired Predictors, with Application in Assessing Added-Value in Proteomics Data.
Presentation
Bart Mertens, Leiden University Medical Centre ; Alexia Kakourou, Leiden University Medical Centre
11:50 AM
Statistical Quantification of Colocalization via Optimal Transport
Presentation
Carla Tameling, Department for Mathematics and Computer Science ; Axel Munk, University of Goettingen; Stefan Jakobs, Max Planck Institute for Biophysical Chemistry, Goettingen; Stefan Stoldt, Max Planck Institute for Biophysical Chemistry, Goettingen
12:05 PM
Automation of Multiprocessor Optimization in SAFAL
Babubhai Shah, SAFAL Institute Inc.
