Keyword Search
Legend:
CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
|
Keyword Search Criteria: network returned 177 record(s)
|
|
Sunday, 07/29/2018
|
Deep Learning for Statistical Inference in Infectious Disease Systems
Rob Deardon, University of Calgary; Carolyn Augusta, University of Guelph; Graham Taylor, University of Guelph
|
Network Meta-Analysis of Disconnected Networks: How Dangerous Are Random Baseline Treatment Effects?
Audrey Béliveau, University of Waterloo; Sarah Goring, SMG Outcomes Research; Robert W Platt, McGill University; Paul Gustafson, University of British Columbia
|
A Tight Spectral Clustering Algorithm for Bipartite Networks with Node Covariates
Yidan Sun
|
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
|
Advantageous Statistical Tools for Stock Market Investing
Kenneth Davis
|
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
|
Statistical Modeling of Brain Networks Using Multimodal Neuroimaging
Ying Guo, Emory University; Yingtian Hu, Emory University
2:05 PM
|
Model Calibration of a Protein-Signaling Network
Derek Bingham, Simon Fraser University; David Alexander Campbell, Simon Fraser University; David C. Clarke, Simon Fraser University; Mike Grosskopf, Simon Fraser University; Luyao Lin, Simon Fraser University; Biljana Jonoska Stojkova , University of British Columbia
2:05 PM
|
Advantageous Statistical Tools for Stock Market Investing
Kenneth Davis
2:05 PM
|
A Four-Part Introduction to Deep Learning
Christopher Manning, Stanford University; Ruslan Salakhutdinov, Carnegie Mellon University
2:05 PM
|
Template ICA: Estimating Resting-State Networks from fMRI in Individual Subjects Using Empirical Population Priors
Amanda Mejia, Indiana University; Yikai Wang, Emory University; Brian Caffo, Johns Hopkins University; Ying Guo, Emory University
2:30 PM
|
Bayesian Inference for Phylogenetic Trees and Networks
Liangliang Wang, Simon Fraser University; Shijia Wang, Simon Fraser University; Alexandre Bouchard-Côté, University of British Columbia
2:45 PM
|
High-Dimensional Gaussian Graphical Model for Network-Linked Data
Ji Zhu, University of Michigan; Boang Liu, University of Michigan; Tianxi Li, University of Michigan; Cheng Qian, University of Michigan; Elizaveta Levina, 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
2:45 PM
|
Preferential Recruitment Modeling for Respondent-Driven Sampling
Katherine McLaughlin, Oregon State University
2:50 PM
|
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
3:00 PM
|
Toward a Sampling Theory for Statistical Network Analysis
Harry Crane, Rutgers
3:05 PM
|
Network Regression and Inference
Peng Wang, University of Cincinnati; Xiaotong Shen, University of Minnesota
3:25 PM
|
A Tight Spectral Clustering Algorithm for Bipartite Networks with Node Covariates
Yidan Sun
3:45 PM
|
Estimating Heterogeneous Biomarker Networks and Their Effects on Disease Outcome
Shanghong Xie, Columbia University; Xiang Li, Statistics and Decision Sciences, Janssen Research & Development, LLC; Donglin Zeng, UNC Chapel Hill; Yuanjia Wang, Columbia University
4:05 PM
|
Spatial Bayesian Fusing Models for Sparse Networks and Health Risk
Andrew B Lawson, Medical University of South Carolina ; Raymond Boaz, Medical University of South Carolina
4:25 PM
|
New Methods for Incorporating Network Cyclic Structures to Improve Community Detection
Behnaz Moradijamei, Kansas State University; Michael Higgins, KANSAS STATE UNIVERSITY; Heman Shakeri, Kansas State University
4:35 PM
|
The Convex Mixture Transition Distribution: Granger Causality Networks for Categorical Time Series
Alex Tank; Emily Fox, University of Washington; Ali Shojaie, University of Washington
5:05 PM
|
LinkedIn Feed Optimization
Souvik Ghosh, LinkedIn
5:05 PM
|
Extendability for Exchangeable Network Models
Jiaqi Yin, University of Washington; Thomas Richardson, University of Washington
5:20 PM
|
Incorporating Host Genomics Data and Microbial Network Inference
Richard Bonneau, NYU Center for Data Science & Simons Foundation
5:25 PM
|
|
Monday, 07/30/2018
|
Empirical Evaluation for Platt Scaling and Isotonic Regression
Weihua Shi, SAS Institute, Inc.
|
Variation of Functional Connectome Topology and Its Implications for Attention
Kelson Zawack, Yale University
|
Classroom Demonstration: Deep Learning for Classification and Prediction, Introduction to GPU Computing
Eric Suess, CSU East Bay
|
A Joint Modeling Approach for Directed Acyclic Network Data
Yan Zhou, Merck &Co., Inc
|
A Generalization of Convolutional Neural Networks to Graph-Structured Data
Yotam Hechtlinger, Carnegie Mellon Univ; Purvasha Chakravarti, Carnegie Mellon University; Jining Qin, Carnegie Mellon University
|
Classification Accuracy of Unsupervised Learning Methods with Discrete and Mixture Distributed Indicators: a Monte Carlo Simulation Study
Chi Chang
|
Multiple Imputation Using Denoising Autoencoders
Lovedeep Gondara
|
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
|
Random Conditional Histogram Based Density Estimation with Applications in Probabilistic Forecasting
Rui Li, North Carolina State University; Howard D Bondell, University of Melbourne; Brian Reich, North Carolina State University
|
Covariate-Adjusted Recurrent Processes on Network and an Application to Geyser Eruption Prediction
Zhongnan Jin, Virginia Tech; Yili Hong, Virginia Tech
|
Detecting Planets: Jointly Modeling Radial Velocity and Stellar Activity Time Series
David Edward Jones, Duke University and SAMSI; David Stenning, Imperial College London; Eric Ford, Penn State University; Robert Wolpert, Duke University; Thomas Loredo, Cornell University; Xavier Dumusque, Observatoire Astronomique de l'Universite de Geneve
8:35 AM
|
Battle Royale: Machine Learning vs. Mechanistically Motivated Spatio-Temporal Models for Atmospheric and Oceanic Processes
Christopher K. Wikle, University of Missouri
8:35 AM
|
Estimation of Change Point in Temporally Evolving Networks
Moulinath Banerjee, University of Michigan; George Michailidis, University of Florida; Monika Bhatacharjee, University of Florida
8:35 AM
|
Factor Models for High-Dimensional Dynamic Networks: With Application to International Trade Flow Time Series 1981--2015
Elynn CHEN, Rutgers University; Rong Chen, Rutgers University
8:35 AM
|
Random Conditional Histogram Based Density Estimation with Applications in Probabilistic Forecasting
Rui Li, North Carolina State University; Howard D Bondell, University of Melbourne; Brian Reich, North Carolina State University
8:45 AM
|
Segmenting Dynamic Network Data
Rex Cheung, San Francisco State University
8:50 AM
|
Making Optimal Matching Size-Scalable Using Optimal Calipers
Ruoqi Yu, University of Pennsylvania; Paul Rosenbaum, University of Pennsylvania
8:50 AM
|
Inferential Analysis of the Supreme Court Citation Network
Christian Schmid, The Pennsylvania State University; Bruce Desmarais, The Pennsylvania State University
8:50 AM
|
Pathway and Network-Based Integrative Bayesian Modeling of Multiplatform Genomics Data
Veera Baladandayuthapani, UT MD Anderson Cancer Center; Jeffrey S Morris, The University of Texas M.D. Anderson Cancer Center; Elizabeth McGuffey, United States Naval Academy; Raymond J. Carroll, Texas A & M University; Min Jin Ha, UT MD Anderson Cancer Center
9:00 AM
|
Randomization for Networked Experiments Using Random Dot Product Graphs
Yichen Qin, University of Cincinnati; Carey E Priebe, Johns Hopkins University
9:00 AM
|
Inferring Low-Rank Population Structure from Multiple Network Samples
Keith Levin, University of Michigan; Asad Lodhia, University of Michigan; Elizaveta Levina, University of Michigan
9:05 AM
|
Multiple Imputation Using Denoising Autoencoders
Lovedeep Gondara
9:20 AM
|
Network Structural Equation Modeling for Photovoltaic Modules Lifetime Performance in Real-World and Accelerated Exposures
Wei-Heng Huang, Case Western Reserve University; JiQi Liu, Case Western Reserve University; Alan J. Curran, Case Western Reserve University; Justin S. Fada, Case Western Reserve University; Jennifer L. Braid, Case Western Reserve University; Roger H. French, Case Western Reserve University
9:20 AM
|
Decision-Theoretic Aspects of Causal Inference Under Network Interference
Daniel L Sussman, Boston University
9:25 AM
|
Two-Way Sparsity for Time-Varying Networks, with Applications in Genomics
Thomas Bartlett, University College London; Ricardo Silva, University College London; Ioannis Kosmidis, University of Warwick
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
9:50 AM
|
Designing A/B Tests in a Collaboration Network
Sangho Yoon, Google
9:50 AM
|
ESTIMATING TREATMENT IMPORTANCE in MULTIDRUG-RESISTANT TUBERCULOSIS USING TARGETED LEARNING: AN OBSERVATIONAL INDIVIDUAL PATIENT DATA NETWORK META-ANALYSIS
Guanbo Wang, McGill University; Mireille Schnitzer, University of Montreal; Andrea Benedetti, Respiratory Epidemiology and Clinical Research Unit, McGill University Health Centre
10:35 AM
|
Statistical Methods for Handling Missing Data in Distributed Health Data Networks
Yi Deng, Google Inc.; Xiaoqian Jiang, University of California, San Diego; Qi Long, University of Pennsylvania
11:00 AM
|
Additivity of Information in Multilayer Networks via Additive Gaussian Noise Transforms
Galen Reeves, Duke University
11:00 AM
|
Supervised Clustering via an Implicit Network for High-Dimensional Data
Brandon Park; Anand N Vidyashankar, George Mason University; Tucker S McElroy, U.S. Census Bureau
11:05 AM
|
Forecasting of Grape Powdery Mildew Disease Risk in Vineyards Using a Bayesian Learning Network Model
Nathaniel Newlands, Agriculture and Agri-Food Canada (Science and Technology Branch); Weixun Lu, Agriculture and Agri-Food Canada (Science and Technology Branch); Odile Carisse, Agriculture and Agri-Food Canada (Science and Technology Branch); David E. Atkinson, University of Victoria
11:05 AM
|
Spatial Clustering Using Spatio-Temporal Network Data
Ashwini Venkatasubramaniam, University of Glasgow; Ludger Evers, University of Glasgow; Konstantinos Ampountolas, University of Glasgow
11:05 AM
|
Model-Based Clustering of Nonparametric Weighted Networks with Application to Water Pollution Analysis
Amal Agarwal, Pennsylvania State University; Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
11:20 AM
|
Bayesian Network Models for Integrating Genetics and Metabolomics Data
Denise Marie Scholtens, Northwestern University; Alan Kuang, Northwestern University
11:25 AM
|
Understanding Cryptocurrency Price Formation from Time Series of Local Blockchain Graph Features
Cuneyt Akcora, University of Texas at Dallas; Asim Dey, University of Texas at Dallas; Ceren Abay, University of Texas at Dallas; Yulia Gel, University of Texas at Dallas; Umar Islambekov, University of Texas at Dallas; Murat Kantarcioglu, University of Texas at Dallas
11:25 AM
|
Edward: a Library for Probabilistic Machine Learning and Statistics
Dustin Tran, Columbia University; David Blei, Columbia University
11:35 AM
|
Sharing of Network Data: Differentially Private Synthetic Networks
Aleksandra Slavkovic, Pennsylvania State University; Vishesh Karwa, Ohio State University; Pavel Krivitsky, University of Wollongong
11:35 AM
|
Covariate-Adjusted Recurrent Processes on Network and an Application to Geyser Eruption Prediction
Zhongnan Jin, Virginia Tech; Yili Hong, Virginia Tech
11:40 AM
|
Sufficient Dimension Reduction Using Deep Neural Networks
Yixi Xu, Purdue University; Xin Zhang, Florida State University; Xiao Wang , Purdue University
11:50 AM
|
Sparse-Input Neural Networks for High-Dimensional Nonparametric Regression and Classification
Jean Feng; Noah Simon, University of Washington
2:05 PM
|
Deep Neural Network Model for Predicting Gene Activity Using Three-Dimensional Structures of Chemical Compounds
Pingzhao Hu, University of Manitoba; Md. Mohaiminul Islam, University of Manitoba; Kevin Jeffers, University of Manitoba; Andrew M Hogan , University of Manitoba; Rebecca Davis, University of Manitoba; Silvia Cardona, University of Manitoba
2:05 PM
|
Bayesian Network Regularized Regression for Modeling Urban Crime Occurrences
Elizabeth Mary Upton, Boston University; Luis Carvalho, Boston University
2:20 PM
|
Visualising Model Stability Information for Better Prognosis Based Network-Type Feature Extraction
Connor Smith, University of Sydney; Samuel Mueller, The University of Sydney; Boris Guennewig, University of Sydney
2:20 PM
|
Prediction on Network-Linked Data by Matrix Variate Models
Xuefei Zhang, University of Michigan; Ji Zhu, University of Michigan
2:35 PM
|
Likelihood Based Dynamic Connectivity Analysis Using Hidden Semi-Markov Models
Heather Shappell, Johns Hopkins University Bloomberg School of Public Health; Brian Caffo, Johns Hopkins University; James Pekar, Johns Hopkins University F.M. Kirby Research Center; Martin A Lindquist, Johns Hopkins University
2:35 PM
|
Bayesian Regression with Undirected Network Predictors with an Application to Brain Connectome Data
Sharmistha Guha, UC Santa Cruz; Abel Rodriguez, UC Santa Cruz
2:45 PM
|
Asymptotic Analysis of Large-Scale Multi-Relational Network Through Latent Variable Modeling
Zhi Wang, Columbia University; Xueying Tang, Columbia University; Jingchen Liu, Columbia University
2:50 PM
|
Comparison of Functional Brain Networks via Correlation Preserving Random Networks
Ixavier Higgins, Rollins School of Public Health-Emory University; Suprateek Kundu, Emory University Rollins School of Public Health; Ying Guo, Emory University
3:20 PM
|
Network Augmented Classification
Boang Liu, University of Michigan; Ji Zhu, University of Michigan
3:25 PM
|
Some Sampling and Aggregation Strategies for Statistical Process Monitoring
William H Woodall, Virginia Tech; Inez Zwetsloot, City University of Hong Kong
3:25 PM
|
|
Tuesday, 07/31/2018
|
Differences Between Telomerase Activation and ALT Based on the Theory of G-Networks
Kyung Hyun Lee, Rice University; Marek Kimmel, Rice University
|
An Improved Inference Method for Multivariate Meta-Analysis and Meta-Regression
Hisashi Noma, The Institute of Statistical Mathematics
|
Applications of Neural Net Models to Identify Placebo Responders in Clinical Trials
Mikhail Dmitrienko, Blue Valley North High School
|
Bayesian Function Data Analysis for Weather Forecast
Duchwan Ryu, Northern Illinois University; Hao Shen, Northern Illinois University
|
Proteomics and Genomics Integration and Ovarian Cancer Survival
Umut Ozbek, Icahn School of Medicine at Mount Sinai; Christopher Conley, University of California at Davis; Jie Peng, UC Davis; Pei Wang, Icahn School of Medicine at Mount Sinai
|
Sparse Causal Dynamic Network Modeling of fMRI
Xuefei Cao, Brown University; Xi Luo, Brown University; Bjorn Sandstede, Brown University
|
Incorporating Genetic Network into Case-Control Association Studies with High-Dimensional DNA Methylation Data
Hokeun Sun, Pusan National University
|
Invalid Statistical Inference Due to Social Network Dependence
Youjin Lee, Johns Hopkins School of Public Health; Elizabeth Ogburn, Johns Hopkins School of Public Health
|
Generalized Estimating Equations for Social Network Data
Miles Ott, Smith College; Bjorn Westgard, HealthPartners; Brian Martinson, HealthPartners; Michael Maciosek, HealthPartners
|
Microbial Network Estimation Using Compositional Graphical Lasso
Chuan Tian, Oregon State University; Duo Jiang, Oregon State University; Tom Sharpton, Oregon State University; Yuan Jiang, Oregon State University
|
Inferring Networks from Personal, Dense, Dynamic Data Clouds of Biological and Quantified-Self Data
Elisa Sheng, Arivale
|
Invalid Statistical Inference Due to Social Network Dependence
Youjin Lee, Johns Hopkins School of Public Health; Elizabeth Ogburn, Johns Hopkins School of Public Health
9:05 AM
|
Multiscale Models for Continuous Time Interaction Data
Tyler McCormick, University of Washington; Wesley Lee, University of Washington; Rumi Chunara, New York University
9:25 AM
|
Incorporating Genetic Network into Case-Control Association Studies with High-Dimensional DNA Methylation Data
Hokeun Sun, Pusan National University
9:35 AM
|
Inferring Gene Regulatory Networks from a Population of Yeast Segregants
Dabao Zhang, Purdue University
9:35 AM
|
Nonlinear Variable Selection Using Deep Neural Network
Yao Chen, Purdue University; Faming Liang, Purdue University; Xiao Wang , Purdue University
9:50 AM
|
A Dynamic Individual-Based Model of Ant Interaction Events
Nathan Wikle; Ephraim Hanks, The Pennsylvania State University; David Hughes, Pennsylvania State University
9:50 AM
|
Multivariate Network Meta-Analysis to Mitigate Outcome Reporting Bias
Stacia Marie DeSantis, University of Texas Health Science Center at Houston
9:55 AM
|
Microbial Network Estimation Using Compositional Graphical Lasso
Chuan Tian, Oregon State University; Duo Jiang, Oregon State University; Tom Sharpton, Oregon State University; Yuan Jiang, Oregon State University
9:55 AM
|
The Reduced PC-Algorithm: Improved Causal Structure Learning in Large Random Networks
Arjun Sondhi, University of Washington; Ali Shojaie, University of Washington
10:35 AM
|
Data-Driven Modeling and Forecast of Noisy Nonlinear Dynamics
Kyongmin Yeo, IBM T.J. Watson Research Center; Youngdeok Hwang, Sungkyunkwan University; Eun Kyung Lee, IBM T.J. Watson Research Center
10:35 AM
|
Generalized Estimating Equations for Social Network Data
Miles Ott, Smith College; Bjorn Westgard, HealthPartners; Brian Martinson, HealthPartners; Michael Maciosek, HealthPartners
10:55 AM
|
Evaluating Power Plant Regulations with Methods for Causal Inference on Bipartite Networks with Interference
Fabrizia Mealli, University of Florence; Corwin Zigler, Harvard T.H. Chan School of Public Health; Laura Forastiere, University of Florence
11:15 AM
|
Statistical Modeling for Pooling and Analyzing Multi-Site Data Sets Using Maximum Mean Discrepancy
Hao Zhou, University of Wisconsin Madison
11:20 AM
|
Inferring Networks from Personal, Dense, Dynamic Data Clouds of Biological and Quantified-Self Data
Elisa Sheng, Arivale
11:40 AM
|
Network Meta-Analysis: On the Use of the Standard Contrast-Based Approach in Disconnected Networks
Audrey Béliveau, University of Waterloo; Paul Gustafson, University of British Columbia
11:50 AM
|
Machine Learning to Evaluate the Quality of Patient Reported Epidemiological Data
Robert L. Wood, Resonate & Wichita State University; Futoshi Yumoto, Resonate; Rochelle Tractenberg, Georgetown University
12:10 PM
|
Constructing Tumor-Specific Gene Regulatory Networks Based on Sample with Tumor Purity Heterogeneity
Pei Wang, Icahn School of Medicine at Mount Sinai ; Francesca Petralia, Icahn School of Medicine at Mount Sinai; Li Wang, Icahn School of Medicine at Mount Sinai; Jie Peng, UC Davis
2:05 PM
|
Semiparametric-Sparse Network Kernel Method for Genetic Pathway Analysis
Byung-Jun Kim, Virginia Polytechnic Inst. & State Univ.; Inyoung Kim, Virginia Tech
2:05 PM
|
Inference of Transcription Factor Binding Sites in New Cell Types from Open Chromatin and Gene Expression Data
Michael M. Hoffman, Princess Margaret Cancer Centre/University of Toronto; Mehran Karimzadeh, University of Toronto
2:05 PM
|
Boolean Function Networks
Henry Lu, National Chiao Tung University
2:20 PM
|
Bayesian Inference of Spreading Processes on Networks
Antonietta Mira, Università della Svizzera italiana; Ritabrata Dutta, Università della Svizzera italiana; Jukka-Pekka Onnela, Harvard T. H. Chan School of Public Health
2:25 PM
|
Assessing Individual and Disseminated Causal Package Effects in Network HIV Treatment and Prevention Trials
Ashley Buchanan, University of Rhode Island; Donna Spiegelman, Harvard T.H. Chan School of Public Health; Sten Vermund, Yale University; Samuel Friedman, National Development and Research Institutes, Inc.; Judith Lok, Harvard T.H. Chan School of Public Health
2:45 PM
|
Inferring the Impact of Genetic Variation on Regulatory Networks
Sara Mostafavi
2:45 PM
|
Data Collection Issues in Modeling and Estimation of Urban Transportation Networks
Isabelle Kemajou-Brown, Morgan State University; Jasmine Alston, Morgan State University; Paul Bikoi, Morgan State University; Eugene Evans, Morgan State University; Xilei Zhao, University of Michigan; James C. Spall, Applied Physics Laboratory
3:35 PM
|
|
Wednesday, 08/01/2018
|
An Improved Estimator for Variance Components in Linear Mixed Model
Kun Yue, University of Washington; Jing Ma, Fred Hutch Cancer Research Center; Ali Shojaie, University of Washington
|
Improving Object Detection with Image Preprocessing
Timothy J. Park, Purdue University
|
Automatic Extraction of Cell Nuclei from Pathological Images
Brendan Caseria, The University of Texas at Dallas; Alsadig Ali, The University of Texas at Dallas; Yan Cao, The University of Texas at Dallas; Yifei Lou, The University of Texas at Dallas; Guanghua Xiao, The University of Texas Southwestern Medical Center
|
Integrative Analysis of Actively Identified Pathways from Multi-Modal Omics Data
Pei-Li Wang, University of Florida; George Michailidis, University of Florida
|
Bayesian Non-Negative Matrix Factorization for Analyzing Co-Location Networks
Wenna Xi, The Ohio State University; Catherine Calder, The Ohio State University; Christopher Browning, The Ohio State University
|
Causal Inference for Infectious Disease Interventions in Networks
Xiaoxuan Cai, Yale University; Forrest W Crawford, Yale School of Public Health
|
Estimating the Size of a Hidden Finite Set: Large-Sample Behavior of Estimators
Si Cheng, Yale School of Public Health; Daniel J. Eck; Forrest W Crawford, Yale School of Public Health
|
A Variational Bayes Approach to Clustered Latent Preference Models for Directed Network Data
Jaron Lee, Australian National University
|
An Integrated Microbe-Metabolite Interaction Map
Jing Ma, Fred Hutch Cancer Research Center
8:35 AM
|
Estimating the Size of a Hidden Finite Set: Large-Sample Behavior of Estimators
Si Cheng, Yale School of Public Health; Daniel J. Eck; Forrest W Crawford, Yale School of Public Health
8:45 AM
|
Generalized Bayesian Factor Analysis for Integrative Clustering with Application to Multi-Modal Omics Data
Eun Jeong Min, University of Pennsylvania; Changgee Chang, University of Pennsylvania; Qi Long, University of Pennsylvania
8:50 AM
|
Incorporating Sociodemographic Transitions and Family Network Structure into Historical Record Linkage
Kayla Frisoli, Carnegie Mellon University; Rebecca Nugent, Carnegie Mellon University; Brendan Murphy, University College Dublin
8:55 AM
|
Graph Matching and Subsequent Inference in Errorfully Observed Network Data
Vince Lyzinski, University of Massachusetts Amherst
9:00 AM
|
Folded Concave Penalized Estimation of Conditional Copula Graphical Models with Application to Microbial Networks
Bingyuan Liu, Pennsylvania State University; Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
9:05 AM
|
A Functional Neural Network for Genetic Data Analysis Involving High-Dimensional Multivariate Outcomes
Shan Zhang, Michigan State University; Xiaoxi Shen; Xiaoran Tong, Michigan State University; Qing Lu, Michigan State University
9:20 AM
|
Bayesian Non-Negative Matrix Factorization for Analyzing Co-Location Networks
Wenna Xi, The Ohio State University; Catherine Calder, The Ohio State University; Christopher Browning, The Ohio State University
9:30 AM
|
Causal Inference for Infectious Disease Interventions in Networks
Xiaoxuan Cai, Yale University; Forrest W Crawford, Yale School of Public Health
9:30 AM
|
Partially Specified Spatial Autoregressive Model with Artificial Neural Network
Wenqian Wang, Northwestern University; Beth Andrews, Northwestern University
9:35 AM
|
Heterogeneous Treatment Effect Estimation through Deep Learning
Ran Chen, Wharton; Hanzhong Liu, Center for Statistical Science, Tsinghua University
9:35 AM
|
A Variational Bayes Approach to Clustered Latent Preference Models for Directed Network Data
Jaron Lee, Australian National University
9:40 AM
|
Simultaneous Prediction and Community Detection on Networks with Application to Neuroimaging
Jesús Arroyo , University of Michigan; Elizaveta Levina, University of Michigan
9:50 AM
|
Neural Network with Spline Smoothing and Its Applications to Genetics
Pei Geng, Illinois State University; Shan Zhang, Michigan State University; Qing Lu, Michigan State University
10:05 AM
|
Comparative Methods on Phylogenetic Networks
Claudia Solis-Lemus, Emory University; Cecile Ane, University of Wisconsin-Madison; Paul Bastide, Rega Institute, KU Leuven; Ricardo Kriebel, University of Wisconsin-Madison; William Sparks, University of Wisconsin-Madison
10:35 AM
|
Manifold Learning for Network Inference
Mingyue Gao, The Johns Hopkins University; Carey E Priebe, Johns Hopkins University; Minh Tang, Johns Hopkins University
10:35 AM
|
Degree Centrality of SNPs in EQTL Networks
Sheila Gaynor, Harvard University; Maud Fagny, Dana Farber Cancer Institute; John Platig, Dana Farber Cancer Institute; Xihong Lin, Harvard University; John Quackenbush, Dana Farber Cancer Institute
11:05 AM
|
Deep Learning for Data Imputation and Calibration Weighting
Yijun Wei, NISS; Luca Sartore, National Institute of Statistical Sciences; Jake Abernethy, National Agricultural Statistics Service, United States Department of Agriculture; Darcy Miller, National Agricultural Statistics Service; Kelly Toppin, National Agricultural Statistics Service; Clifford Spiegelman, Texas A&M University; Michael Hyman, USDA-NASS
11:15 AM
|
Inferring Social Structure from Continuous-Time Interaction Data
Bailey Fosdick, Colorado State University; Wesley Lee, University of Washington; Tyler McCormick, University of Washington
11:15 AM
|
Time-Constrained Predictive Modeling on Large and Continuously Updating Financial Data Sets
Bernard Lee, HedgeSPA Limited; Nicos Christofides, Imperial College London
11:20 AM
|
Spectral Clustering via Unsupervised Random Forests
William Biscarri, University of Illinois at Urbana-Champaign; Robert J. Brunner, University of Illinois at Urbana-Champaign; Ruoqing Zhu, University of Illinois Urbana-Champaign
11:50 AM
|
Direct Estimation of Differential Networks Under High-Dimensional Nonparanormal Graphical Models
Qingyang Zhang, University of Arkansas
2:20 PM
|
Cooperative Learning of Deep Energy-Based Model and Latent Variable Model via MCMC Teaching
Ying Nian Wu, UCLA
2:30 PM
|
Exact Conditional Randomization Tests for Causal Effects Under Interference
Panagiotis Toulis, University of Chicago; Avi Feller, UC Berkeley; Guillaume Basse, Harvard University
2:45 PM
|
Local, Model-Agnostic Explanations of Machine Learning Predictions
Sameer Singh, University of California, Irvine
2:45 PM
|
Methods for Population-Adjusted Indirect Comparisons
Joseph C Cappelleri, Pfizer Inc
2:50 PM
|
Using Omics Data to Guide Network Classification in Neuroimaging Studies of Brain Diseases
Jean Yee Hwa Yang, University of Sydney, Australia; Elizaveta Levina, University of Michigan; Mengbo Li, University of Sydney; Jesús Arroyo , University of Michigan; Daniel A. Kessler, University of Michigan
2:55 PM
|
Think Deeper with Deep Learning
Saratendu Sethi, SAS Institute Inc.
2:55 PM
|
Estimation of Contagion Effects in Households and Other Networks
Forrest W Crawford, Yale School of Public Health; Wen Wei Loh, Ghent University
3:05 PM
|
Network Meta-Analysis for N-Of-1 Trials with Ordinal Outcomes
Youdan Wang, Brown University; Christopher Schmid, Brown University
3:05 PM
|
Weight Normalized Deep Neural Networks
Xiao Wang , Purdue University; Yixi Xu, Purdue University
3:20 PM
|
Model-Based Sampling Design for Multivariate Spatial Prediction on a Stream Network
Dale Zimmerman, American Statistical Association
3:20 PM
|
Inter-Facility Transitional Care Management: Social Network Analysis Perspectives
Shun Zhang; Tim Rimnac, Health Care Services Corporation ; Qianyin Huang, NORC at the University of Chicago
3:20 PM
|
|
Thursday, 08/02/2018
|
Modeling Preferential Site Selection in Networks Used to Monitor Environmental Spatio-Temporal Processes
Jim Zidek, University of British Columbia; Joe Watson, UBC; Gavin Shaddick , University of Exeter
8:35 AM
|
Global Spectral Clustering in Dynamic Networks
David Choi, Carnegie Mellon University; Fuchen Liu, Carnegie Mellon University; Kathryn Roeder, Carnegie Mellon University
8:35 AM
|
Leveraging Adiabatic Quantum Computation for Election Forecasting
Maxwell Henderson, QxBranch
8:35 AM
|
Automatic Wildfire Smoke Plume Identification from Satellite Imagery with Machine Learning
Alexandra Larsen, North Carolina State University; Ana Rappold, U.S. Environmental Protection Agency; Yi Qin, The Commonwealth Scientific and Industrial Research Organisation; Martin Cope, The Commonwealth Scientific and Industrial Research Organisation; Geoffrey Morgan, The University of Sydney; Ivan Hannigan, The University of Sydney; Brian J. Reich, North Carolina State University
8:35 AM
|
SPAIG Award Collaboration: The National Science Foundation-Census Research Network (NCRN)
Daniel H Weinberg, Consultant; Lars Vilhuber, Cornell University
9:00 AM
|
Are Extreme Value Estimation Methods Useful for Network Data?
Tiandong Wang, School of Operations Research and Information Engineering
9:15 AM
|
Latent Space Approaches to Community Detection in Dynamic Networks
Yuguo Chen, University of Illinois at Urbana-Champaign; Daniel Sewell, University of Iowa
9:15 AM
|
Frailty Model for Time-To-Event Data on a Social Network
Fangda Song, The Chinese University of Hong Kong; Jing Chu, University of Michigan; Yingying Wei, The Chinese University of Hong Kong
9:20 AM
|
Statistical Properties of Deep Networks
Peter Bartlett, UC Berkeley
9:25 AM
|
Dynamic Community Detection for Multiple Networks
Sharmodeep Bhattacharyya, Oregon State University; Shirshendu Chatterjee, City University of New York
9:35 AM
|
Non-Stationary High-Dimensional Time Series Networks for Brain Imaging Data
Ivor Cribben, University of Alberta
9:35 AM
|
Post-Stratification in Network Driven Sampling
Yilin Zhang, University of Wisconsin-Madison; Sebastien Roch, University of Wisconsin-Madison; Karl Rohe, University of Wisconsin-Madison
9:55 AM
|
A Bayesian Hierarchical Summary Receiver Operating Characteristic Model for Network Meta-Analysis of Diagnostic Tests
Haitao Chu, University of Minnesota Twin Cities; Qinshu Lian, University of Minnesota; James S. Hodges, University of Minnesota
10:35 AM
|
Statistical Topology of Brain Activity Networks
Victor Solo, University of New South Wales; Ben Cassidy, Columbia University
10:35 AM
|
Model Visualization Techniques for a Social Network Model
Sam Tyner, Iowa State University; Heike Hofmann, Iowa State University
10:35 AM
|
A Framework of Change Detection for Dynamic Networks
Fuchen Liu, Carnegie Mellon University
10:50 AM
|
Statistical Inference of Brain Connectivity Networks: a Network Topology Based Method
Yishi Xing; Shuo Chen, University of Maryland, School of Medicine
10:55 AM
|
Model Choice and Future Prediction Accuracy in Time Series for Disease Incidence
Reagan Spindler, Hope College; Yew-Meng Koh, Hope College
11:05 AM
|
A Kernel-Based Neural Network for High-Dimensional Genetic Risk Prediction Analysis
Xiaoxi Shen; Xiaoran Tong, Michigan State University; Qing Lu, Michigan State University
11:05 AM
|
Bayesian Network Meta-Regression Models Using Heavy-Tailed Multivariate Random Effects with Covariate-Dependent Variances
Ming-Hui Chen, University of Connecticut; Hao Li, University of Connecticut; Joseph G Ibrahim, University of North Carolina Chapel Hill; Sung Duk Kim, National Cancer Institute; Arvind K. Shah, MRL, Merck & Co., Inc.; Jianxin Lin, MRL, Merck & Co., Inc.; Andrew M. Tershakovec, MRL, Merck & Co., Inc.
11:15 AM
|
Bayesian Integrative Analysis of Brain Functional Networks Incorporating Anatomical Knowledge
Suprateek Kundu, Emory University Rollins School of Public Health; Ixavier Higgins, Rollins School of Public Health-Emory University; Ying Guo, Emory University
11:15 AM
|
Modeling Social Contact Networks in Niakhar, Senegal
Gail Potter, The Emmes Corporation; Jimmy Wong, FDA; Jonathan Sugimoto, Fred Hutch; Aldiouma Diallo, IRD; John Chris Victor , PATH; Kathleen Neuzil, University of Maryland ; M Elizabeth Halloran, Fred Hutch , University of Washington
11:20 AM
|
Bayesian Network-On-Scalar Regression
Jian Kang, University of Michigan
11:35 AM
|
Online Non-Negative Tensor Decomposition with Application to Kidney Paired Donation
Mathieu Bray, University of Michigan; Peter X.-K. Song, University of Michigan
11:50 AM
|
|
|
