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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
 
 

249 		Mon, 7/31/2017, 2:00 PM - 3:50 PM CC-Halls A&B
Contributed Poster Presentations: International Statistical Institute — Contributed Poster Presentations
International Statistical Institute
Chair(s): Jessi Cisewski, Yale University
59: A Parametric Test for Comparing ROC Curves from Biomarkers with a Limit of Detection — Maria Pardo, Complutense University of Madrid ; Alba María Franco Pereira, Complutense University of Madrid ; Christos T. Nakas, University of Thessaly
60: Optimum Life Test Plan for Accelerated Deterioration Test of Three Stress Levels — Takenori Sakumura, Chuo University
 
 

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
 
 

215015 		Tue, 8/1/2017, 12:30 PM - 2:00 PM H-Marshall
Stat Editorial Board Meeting — Other ICW
International Statistical Institute , Wiley
Organizer(s): Marc G. Genton, KAUST
 
 

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
 
 
 
 
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