All Times EDT
Legend:
Activity Details
43 * !
Sun, 8/8/2021,
3:30 PM -
5:20 PM
Virtual
Distributed Regressions in Real-World Data — Invited Papers
Section on Statistics in Epidemiology , ENAR, Section for Statistical Programmers and Analysts
Organizer(s): Yong Chen, University of Pennsylvania
Chair(s): Jiayi Tong, University of Pennsylvania
3:35 PM
Distributed Privacy-Preserving Estimation of Time-to-Event Models
Chao-Kang Jason Liang, National Institute of Allergy and Infectious Diseases
4:00 PM
Combining Cox Regressions Across a Heterogeneous Distributed Research Network Facing Small and Zero Counts
Martijn Schuemie, Janssen R&D
4:25 PM
Statistical Inferences with Distributed Estimators
Cheng Yong Tang, Temple University
4:50 PM
Distributed Regression: Estimation, Prediction, and Inference
Yong Chen, University of Pennsylvania
5:15 PM
Floor Discussion
73 * !
Mon, 8/9/2021,
10:00 AM -
11:50 AM
Virtual
Data Visualization Game: Who Is Winning? Sponsors, Third Parties, or Someone Else? — Invited Panel
Section for Statistical Programmers and Analysts , Biopharmaceutical Section, Section on Statistical Graphics
Organizer(s): Vipin Arora, Eli Lilly and Company
Chair(s): Vipin Arora, Eli Lilly and Company
10:05 AM
Data Visualization Game: Who Is Winning? Sponsors, Third Parties, or Someone Else?
Panelists:
Kent Koprowicz, Axio Research Douglas Landsittel, Indiana University Neby Bekele, Exelixis Inc Richard C. Zink, Lexitas Pharma Services, Inc. Melvin Munsaka, AbbVie Inc
11:40 AM
Floor Discussion
160 * !
Tue, 8/10/2021,
10:00 AM -
11:50 AM
Virtual
Time Series Methodology: Modern Practices in Seasonal Adjustment and Software — Topic-Contributed Papers
Section for Statistical Programmers and Analysts , Government Statistics Section, Business and Economic Statistics Section
Organizer(s): James A Livsey, U. S. Census Bureau
Chair(s): Vladas Pipiras, University of North Carolina at Chapel Hill
10:05 AM
Adapting the Seasonal Adjustment of Local Area Unemployment Statistics to the COVID-19 Pandemic
Richard Tiller, Bureau of Labor Statistics ; Jennifer Oh, Bureau of Labor Statistics; Lizhi Liu, Bureau of Labor Statistics
10:25 AM
New Seasonal Adjustment and Signal Extraction Methods in the Manufacturers’ Shipments, Inventories, and Orders (M3) Survey
James A Livsey, U. S. Census Bureau ; Colt Viehdorfer, US Census Bureau
10:45 AM
Toward a New Paradigm for Scanner Data Price Indices: Applying Big Data Techniques to Big Data
Jens Mehrhoff, Deutsche Bundesbank
11:05 AM
Recent Advances in Count Time Series Models
Stefanos Kechagias, SAS Institute ; Vladas Pipiras, University of North Carolina at Chapel Hill; James A Livsey, U. S. Census Bureau; Robert Lund, UC Santa Cruz; Yisu Jia, University of North Florida
11:25 AM
Review of Available Programs for Seasonal Adjustment of Weekly Data
Presentation
Thomas Evans, Bureau of Labor Statistics ; Brian C Monsell, U.S. Bureau of Labor Statistics; Michael Sverchkov, Bureau of Labor Statistics
11:45 AM
Floor Discussion
262 * !
Wed, 8/11/2021,
1:30 PM -
3:20 PM
Virtual
Emerging Statistical Theory and Methods in Deep Learning — Invited Papers
Section for Statistical Programmers and Analysts , Section on Statistical Learning and Data Science, Health Policy Statistics Section
Organizer(s): Ping Ma, University of Georgia
Chair(s): Ping Ma, University of Georgia
1:35 PM
Probabilistic Connection Importance Inference and Lossless Compression of Deep Neural Networks
Xin (Shayne) Xing, Virginia Tech
2:05 PM
Causal Inference via Artificial Neural Networks: From Prediction to Causation
Shujie Ma, University of California, Riverside ; Xiaohong Chen, Yale University; Ying Liu, University of California, Riverside; Zheng Zhang, Renmin University of China
2:35 PM
Sufficient Dimension Reduction for Classification Using Principal Optimal Transport Direction
Wenxuan Zhong, University of Georgia
3:15 PM
Floor Discussion
347 !
Thu, 8/12/2021,
10:00 AM -
11:50 AM
Virtual
Recent Advances in Clustering and Mixture Models Analysis — Topic-Contributed Papers
Section for Statistical Programmers and Analysts , IMS, Section on Statistical Learning and Data Science, International Chinese Statistical Association
Organizer(s): Anderson Ye Zhang, University of Pennsylvania
Chair(s): Anderson Ye Zhang, University of Pennsylvania
10:05 AM
Structures of Local Minima in K-Means and the Likelihood of Mixture Models
Yudong Chen, School of ORIE, Cornell University ; Xumei Xi, School of ORIE, Cornell University
10:25 AM
Causal Inference for Randomized Experiments in Social Networks
David Choi, Carnegie Mellon University
10:45 AM
Learning Mixtures of Permutations: Groups of Pairwise Comparisons and Combinatorial Method of Moments
Presentation
Cheng Mao, Georgia Institute of Technology ; Yihong Wu, Yale
11:05 AM
Efficient Clustering for Stretched Mixtures: Landscape and Optimality
Kaizheng Wang, Columbia University ; Yuling Yan, Princeton University; Mateo Diaz, Cornell University
11:25 AM
Sparse Topic Modeling: Computational Efficiency and Near-Optimal Algorithms
Ruijia Wu, Department of Statistics, University of Pennsylvania ; Linjun Zhang, Rutgers University; Tony Cai, University of Pennsylvania
11:45 AM
Floor Discussion
