Legend:
CC = Baltimore Convention Center,
H = Hilton Baltimore
* = applied session ! = JSM meeting theme
Activity Details
52 * !
Sun, 7/30/2017,
4:00 PM -
5:50 PM
CC-339
New Challenges in Complex Data Analysis — Invited Papers
Korean International Statistical Society , International Statistical Institute , SSC
Organizer(s): Yichuan Zhao, Georgia State University
Chair(s): Yichuan Zhao, Georgia State University
4:05 PM
Leveraging Algorithms for Super-Large Sample Logistic Regression
—
Ping Ma, University of Georgia
4:30 PM
Marginal Screening of 2 X 2 Tables in Large-Scale Case-Control Studies
—
Ian McKeague, Columbia University
4:55 PM
An Overview of Past, Present, and Future Developments in the Analysis of Recurrent Events and Competing Risks Data
—
Edsel Aldea Pena, University of South Carolina
5:20 PM
Wild Residual Bootstrap Inference for Penalized Quantile Regression with Heteroscedastic Errors
—
Lan Wang, University of Minnesota ; Ingrid Van Keilegom, ORSTAT, KU LEUVEN ; Adam Maidman, University of Minnesota
5:45 PM
Floor Discussion
152 !
Mon, 7/31/2017,
10:30 AM -
12:20 PM
CC-306
Recent Development in Sufficient Dimension Reduction — Topic Contributed Papers
International Statistical Institute , Section on Statistical Learning and Data Science
Organizer(s): Qin Wang, Virginia Commonwealth University
Chair(s): Qiong Zhang, Virginia Commonwealth University
10:35 AM
On Sufficient Dimension Reduction with Missing Responses Through Estimating Equations
—
Yuexiao Dong, Temple University ; Qi Xia, Temple University ; Chengyong Tang, Temple University
10:55 AM
Simultaneous Variable Selection and Structural Dimension Estimation in Sufficient Dimension Reduction
—
Haileab Hilafu, University of Tennessee ; Wenbo Wu, University of Oregon
11:15 AM
Learning Causal Networks via Additive Faithfulness
—
Kuang-Yao Lee, Yale University ; Tianqi Liu, Yale University ; Bing Li, Pennsylvania State University ; Hongyu Zhao, Yale University
11:35 AM
Efficient Sparse Estimate of Sufficient Dimension Reduction in High Dimension
—
Wenhui Sheng ; Xin Chen, National University of Singapore ; Xiangrong Yin, University of Kentucky
11:55 AM
An Adaptive Approach to Dimension Reduction
—
Qin Wang, Virginia Commonwealth University
12:15 PM
Floor Discussion
201 * !
Mon, 7/31/2017,
2:00 PM -
3:50 PM
CC-336
Essential Recent Papers in Stat — Invited Papers
International Statistical Institute , Section on Statistical Graphics , IMS
Organizer(s): John E. Kolassa, Rutgers, the State University of New Jersey
Chair(s): John E. Kolassa, Rutgers, the State University of New Jersey
2:05 PM
Visualization of Robust L1PCA
—
Yi-Hui Zhou, North Carolina State University ; J. S. (Steve) Marron, University of North Carolina
2:35 PM
Interactive Graphics for Functional Data Analyzes
—
Julia Wrobel, Columbia University, Department of Biostatistics ; So-Young Park, North Carolina State University, Department of Statistics ; Ana-Maria Staicu, North Carolina State University, Department of Statistics ; Jeff Goldsmith, Columbia University
3:05 PM
Inferring Population Size: Extending the Multiplier Method to Incorporate Multiple Traits with a Likelihood-Based Approach
—
Vivian Meng, McGill University
3:35 PM
Floor Discussion
280 * !
Tue, 8/1/2017,
8:30 AM -
10:20 AM
CC-341
Climate Statistics: Studies on the Physics and Impacts of Climate Change Using Data Science — Topic Contributed Papers
Section on Physical and Engineering Sciences , Section on Statistics and the Environment , International Statistical Institute
Organizer(s): Ansu Chatterjee, University of Minnesota
Chair(s): Megan Heyman, Rose-Hulman Institute of Technology
8:35 AM
Predicting the Next Decade
—
Timothy DelSole
8:55 AM
Uncertainty Quantification for Remote Sensing Data
—
Amy Braverman, Jet Propulsion Laboratory ; Jonathan Hobbs, Jet Propulsion Laboratory
9:15 AM
The Scale Enhanced Wild Bootstrap Method for Evaluating Climate Models Using Wavelets
—
Ansu Chatterjee, University of Minnesota ; Amy Braverman, Jet Propulsion Laboratory ; Megan Heyman, Rose-Hulman Institute of Technology ; Noel Cressie, University of Wollongong
9:35 AM
Modeling Weather-Induced Home Insurance Risks with Support Vector Machine Regression
—
Vyacheslav Lyubchich, University of Maryland Center for Environmental Science ; Yulia R. Gel, University of Texas at Dallas ; Asim Kumer Dey, University of Texas at Dallas
9:55 AM
Uncertainty Quantification for High-Resolution Hydrology Applications in the Western United States
—
Jonathan Hobbs, Jet Propulsion Laboratory ; Michael Turmon, Jet Propulsion Lab/Caltech ; J T Reager, Jet Propulsion Lab/Caltech ; Cedric David, Jet Propulsion Lab/Caltech ; James Famiglietti, Jet Propulsion Lab/Caltech
10:15 AM
Floor Discussion
335
Tue, 8/1/2017,
10:30 AM -
12:20 PM
CC-326
SPEED: Reliable Statistical Learning and Data Science — Contributed Speed
Section on Statistical Learning and Data Science , Section on Physical and Engineering Sciences , International Statistical Institute
Chair(s): Jacob Bien, Cornell University
10:35 AM
Estimating an Inverse Mean Subspace
—
Jiaying Weng ; Xiangrong Yin, University of Kentucky
10:40 AM
Variable Selection on Functional Data Using Kernel Machine
—
Haoyu Wang, North Carolina State University
10:45 AM
Expected Conditional HSIC for Testing Independence
—
Chenlu Ke ; Xiangrong Yin, University of Kentucky
10:50 AM
Nonlinear Mixed-Effects Mixture Models for Clustering Longitudinal Data with an Application
—
Chongshu Chen, University of Rochester
10:55 AM
Coefficient Estimation and Hypothesis Testing on Interval-Valued Data Regression by Measurement Error
—
Yaotong Cai, University of Georgia ; lynne Billard, University of Georgia
11:00 AM
Quantifying Uncertainty in Latent Dirichlet Allocation
—
Christine Chai, Duke University
11:05 AM
Learning from Imbalanced Data: a Review of Some Existing Methodologies
—
Josephine Akosa, Oklahoma State University ; Melinda McCann, Oklahoma State University
11:10 AM
Tuning Variable Selection via Noise When Prediction Is Not the Primary Objective
—
Eric Reyes, Rose-Hulman Institute of Technology ; Xiaomo Wang, Rose-Hulman Institute of Technology
11:15 AM
A Simulation Study to Evaluate Variable Importance Measures in Random and Conditional Inference Forests with Imputation for Data with Missing and Correlated Predictors
—
Hung-Wen Yeh ; Rayus Kuplicki, Laureate Institute for Brain Research ; Trang Le, University of Tulsa ; Martin P. Paulus, Laureate Institute for Brain Research
11:20 AM
Sparse Network Tomography for Anomaly Detection
—
Elizabeth Hou, University of Michigan ; Yason Yilmaz, University of South Florida ; Alfred Hero, University of Michigan
11:30 AM
High-Dimensional Discriminant Analysis for Spatially Correlated Data
—
Yingjie Li, Michigan State University ; Tapabrata Maiti, Michigan State University
11:40 AM
Linear Combinations of Percentiles for Tests in the One Way Layout
—
Yvonne Zubovic, Indiana University Purdue University Fort Wayne
11:45 AM
Multivariate Functional Data Clustering with Automatic Variable Selection
—
Zhongnan Jin ; Yili Hong, Virginia Tech ; Qingyu Yang, Department of Industrial and Systems Engineering Wayne State University
11:50 AM
Robust Mode Detection Schemes in a Non-Stationary Environment
—
Francois Alastair Marshall, Queen's University
11:55 AM
Statistical Challenges in Materials Mechanics: Microstructure to Performance
—
Scott Vander Wiel, Los Alamos National Laboratory
12:00 PM
A New Multivariate Measure of Agreement in Method-Comparison Studies
—
Sasiprapa Hiriote, Department of Statistics, Faculty of Science, SILPAKORN UNIVERSITY ; Vernon M Chinchilli, Department of Public Health Sciences, Penn State Hershey College of Medicine
12:05 PM
Using Bandit Algorithms on Changing Reward Rates
—
Jeffrey Roach, OpenMail
12:10 PM
Supervised Binning Techniques for Predictive Modeling
—
Zhen Zhang, C Spire ; Lei Zhang, Mississippi State Dept. of Health ; James Veillette, C Spire ; Kendell Churchwell, C Spire
12:15 PM
Floor Discussion
425
Tue, 8/1/2017,
3:05 PM -
3:50 PM
CC-Halls A&B
SPEED: Reliable Statistical Learning and Data Science — Contributed Poster Presentations
Section on Statistical Learning and Data Science , Section on Physical and Engineering Sciences , International Statistical Institute
Chair(s): Jessi Cisewski, Yale University
20:
Estimating an Inverse Mean Subspace
—
Jiaying Weng ; Xiangrong Yin, University of Kentucky
21:
Variable Selection on Functional Data Using Kernel Machine
—
Haoyu Wang, North Carolina State University
22:
Expected Conditional HSIC for Testing Independence
—
Chenlu Ke ; Xiangrong Yin, University of Kentucky
23:
Nonlinear Mixed-Effects Mixture Models for Clustering Longitudinal Data with an Application
—
Chongshu Chen, University of Rochester
24:
Coefficient Estimation and Hypothesis Testing on Interval-Valued Data Regression by Measurement Error
—
Yaotong Cai, University of Georgia ; lynne Billard, University of Georgia
25:
Quantifying Uncertainty in Latent Dirichlet Allocation
—
Christine Chai, Duke University
26:
Learning from Imbalanced Data: a Review of Some Existing Methodologies
—
Josephine Akosa, Oklahoma State University ; Melinda McCann, Oklahoma State University
27:
Tuning Variable Selection via Noise When Prediction Is Not the Primary Objective
—
Eric Reyes, Rose-Hulman Institute of Technology ; Xiaomo Wang, Rose-Hulman Institute of Technology
28:
A Simulation Study to Evaluate Variable Importance Measures in Random and Conditional Inference Forests with Imputation for Data with Missing and Correlated Predictors
—
Hung-Wen Yeh ; Rayus Kuplicki, Laureate Institute for Brain Research ; Trang Le, University of Tulsa ; Martin P. Paulus, Laureate Institute for Brain Research
29:
Sparse Network Tomography for Anomaly Detection
—
Elizabeth Hou, University of Michigan ; Yason Yilmaz, University of South Florida ; Alfred Hero, University of Michigan
30:
High-Dimensional Discriminant Analysis for Spatially Correlated Data
—
Yingjie Li, Michigan State University ; Tapabrata Maiti, Michigan State University
32:
Linear Combinations of Percentiles for Tests in the One Way Layout
—
Yvonne Zubovic, Indiana University Purdue University Fort Wayne
33:
Multivariate Functional Data Clustering with Automatic Variable Selection
—
Zhongnan Jin ; Yili Hong, Virginia Tech ; Qingyu Yang, Department of Industrial and Systems Engineering Wayne State University
34:
Robust Mode Detection Schemes in a Non-Stationary Environment
—
Francois Alastair Marshall, Queen's University
35:
Statistical Challenges in Materials Mechanics: Microstructure to Performance
—
Scott Vander Wiel, Los Alamos National Laboratory
36:
A New Multivariate Measure of Agreement in Method-Comparison Studies
—
Sasiprapa Hiriote, Department of Statistics, Faculty of Science, SILPAKORN UNIVERSITY ; Vernon M Chinchilli, Department of Public Health Sciences, Penn State Hershey College of Medicine
37:
Using Bandit Algorithms on Changing Reward Rates
—
Jeffrey Roach, OpenMail
38:
Supervised Binning Techniques for Predictive Modeling
—
Zhen Zhang, C Spire ; Lei Zhang, Mississippi State Dept. of Health ; James Veillette, C Spire ; Kendell Churchwell, C Spire
The Speed portion will take place during Session 214539
594 * !
Thu, 8/3/2017,
8:30 AM -
10:20 AM
CC-336
Spatial Risk Assessment with Environmental Applications — Invited Papers
Section on Statistics and the Environment , ENAR , International Statistical Institute
Organizer(s): Ying Sun, King Abdullah University of Science and Technology
Chair(s): Ying Sun, King Abdullah University of Science and Technology
8:35 AM
Heteroscedastic Asymmetric Spatial Processes (HASP)
—
Peter F Craigmile, The Ohio State University ; Jiangyong Yin, Google Inc.
9:00 AM
Bayesian Computing and Modeling for Nearest-Neighbor Gaussian Process Models
—
Sudipto Banerjee, UCLA Fielding School of Public Health
9:25 AM
A Causal Inference Analysis of the Effect of Wildland Fire Smoke on Ambient Air Pollution Levels and Health Burden
—
Ana Rappold, US EPA ; Brian Reich, NCSU ; Alexandra Larsen, North Carolina State University
9:50 AM
Copula-Based Semiparametric Models for Spatial-Temporal Data
—
Huixia Judy Wang, The George Washington University ; Yanlin Tang, George Washington University ; Ying Sun, King Abdullah University of Science and Technology
10:15 AM
Floor Discussion