Tag Archives: Concurrent Sessions 3A

Sunday August 21, 8:00-9:30

Session IP3a1

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Probability theory and networks

Organizer: Po-Ling Loh, University of Pennsylvania
Chair: Sharmodeep Bhattacharyya, Oregon State University
Time: Sunday, 8:00–9:30
Room: LInC 314

8:00-8:30

Power of graph-based two-sample tests

Bhaswar Bhattacharya, Stanford University

8:30-9:00

Persistence of centrality in random growing trees

Varun Jog, University of Pennsylvania

9:00-9:30

Computing and maximizing influence in linear threshold and triggering models

Po-Ling Loh, University of Wisconsin, Madison

Session IP3a2

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Recent advances in time series and spatial analysis

Organizer: Lan Xue, Oregon State University
Chair: Lan Xue, Oregon State University
Time: Sunday, 8:00–9:30
Room: LInC 302

8:00-8:30

Bivariate Penalized Splines for Geo-Spatial Regression

Lily Wang, Iowa State University

8:30-9:00

Robust estimation of conditional variance of time series using density power divergences

T.N. Sriram, University of Georgia

9:00-9:30

Multivariate Functional Data Analysis for Dynamic Biomedical Imaging

Yuan Wang, Washington State University

Session IP3a3

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Statistical Innovation in Biomedical Sciences

Organizer: Lei Shu, Astellas Pharma US, Inc
Chair: Saonli Basu, University of Minnesota
Time: Sunday, 8:00–9:30
Room: LInC368

8:00-8:30

On Detection of “Sparse Signals”

Rajarshi Mukherjee, Stanford University

8:30-9:00

Statistical Methods for Public Health and Medicine

Haikady Nagaraja, The Ohio State University

9:00-9:30

Issues & Challenges in Diabetes Drug Development

Shailaja Suryawanshi, Merck and Co.

Session IP3a4

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Statistical Inference for High Dimensional Data

Organizer: Soumen Lahiri, North Carolina State University
Chair: Xiaohui Chang, Oregon State University
Time: Sunday, 8:00–9:30
Room: LInC 345

8:00-8:30

Partially Penalized Regression for High Dimensional Data

Peng Yang,  North Carolina State University

8:30-9:00

Compressed Sensing without Sparsity Assumptions

Miles Lopes, University of California, Davis

9:00-9:30

Estimation and Inference in High Dimensional Linear Models with Measurement Error and Missing Covariate

Abhishek Kaul, National Institute of Environmental Health Sciences

Session CP 1

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Contributed Session 1

Organizer: IISA
Chair: T. Krishna Kumar, Rockville-Analytics
Time: Sunday, 8:00–9:30
Room: LInC  268

8:00-8:15 

Learning Nonparametric Regression Using Gaussian Processes with Missing Covariate

Abhishek Bishoyi, University of Connecticut

8:15–8:30

Multivariate Spectral Variance Estimators in Markov Chain Monte Carlo

Dootika Vats, University of Minnesota

8:30-8:45

Sufficient variable selection via an independence index

Qingcon Yuan, University of Kentucky

8:45-9:00

A study on pre ovular and post ovular day counts and their association with time to pregnancy under joint modeling paradigm

Somak Chatterjee, George Washington University

9:00-9:15

Robust Weighted LAD-Adaptive group-LASSO for Functional Regression Model

Jasdeep Pannu, Lamar University

9:15-9:30

Singular values and Odds ratios- a comparative study

Alfrad Nobel Bhuiyan, University of Cincinnati