Category Archives: Program

Session IP2a3

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Statistical Evidence in Practice: Effect Size on Probability Scale

Organizer: Subir Ghosh, University of California, Riverside
Chair: Subir Ghosh, University of California, Riverside
Time: Saturday, 10:30–12:00
Room: LInC 314

10:30-11:00

P-values, Bias and Variability : Implications for Replication Power

Laura Lazzeroni, Stanford University

11:00-11:30

Small Effect Sizes with Large Disparate Impact: A Study of Bias in Recidivism Prediction Instruments

Alexandra Chouldechova, Carnegie Mellon University

11:30-12:00

Identification of Average Causal Mediation Effects with Multiple Mediators in the Presence of Treatment Non-compliance

Soojin Park, University of California, Riverside

Session IP2a4

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Models and limit theorems

Organizer: Srinivasan Balaji, George Washington University
Chair: Karthyek Murthy, Columbia University
Time: Saturday, 10:30–12:00
Room: LInC 368

10:30-11:00

Central limit theorems and bootstrap in high dimensions

Kento Kato, University of Tokyo

11:00-11:30

Models of Self-Organized Criticality

Riddhipratim Basu,  Stanford University

11:30-12:00

Recurrence and Transience of Random Walks Driven by Polya Urns

Srinivasan Balaji, George Washington University

Session IP2a5

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Optimize Clinical Trial Information: Evidence Based Approaches

Organizer: Satrajit Roychoudhury, Novartis Pharmaceuticals
Chair: Shailaja Shuruavanshi, Merck & Co
Time: Saturday, 10:30–12:00
Room: LInC 345

10:30-11:00

Bayesian approach for benefit:risk analysis

Ram Tiwari, Center for Devices and Radiological Health, Food and Drug Administration

11:00-11:30

Challenges in Biomarker-driven drug development

Qi Xia, Genentech

11:30-12:00

An Evidential Paradigm for Experiments

Qing Liu, QRMedSci

Session IP2a6

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Big data: challenges and opportunities

Organizer: Larissa Stanberry, Seattle Children’s Research Institute
Chair: Jessica Li, University of California, Los Angeles
Time: Saturday, 10:30–12:00
Room: LInC 228

10:30-11:00

A threshold regression model for assessing covariate effects on reproducibility of high-throughput experiments

Qunhua Li, Penn State University

11:00-11:30

Тhe emerging role of the data science and statistics in healthcare industry

Larissa Stanberry, Seattle Children’s Research Institute

11:30-12:00

Characterization, Modeling and Management of Data Quality, Risk and Cost in the Integration of Surveys with Alternative Data Sources

John L. Eltinge, U.S. Bureau of Labor Statistics

Plenary Talk 2

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Statistical Paradises and Paradoxes in Big Data

Chair: Debashis Mondal, Oregon State University
Speaker: Xiao-Li Meng, Harvard University
Time: Saturday, 13:30–14:30
Room: LInC 128

Session M2

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Emanuel Parzen memorial session

Organizer: Soumen Lahiri, North Carolina State University
Chair: Soumen Lahiri, North Carolina State University
Time: Saturday, 14:30–16:00
Room: LInC 228

14:30-15:15

Applications of Distance Correlation to Time Series

Richard Davis, Columbia University

15:15-16:00

Nonparametric Data Science

Deep Mukhopadhyay, Temple University

Session IP2b1 (KISS Sponsored)

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Recent Advances in Dimensionality Reduction

Organizer: Yoonkyung Lee, Ohio State University
Chair: Wenbo Wu, University of Oregon
Time: Saturday, 14:30–16:00
Room: LInC 302

14:30-15:00

Selecting the number of principal components: estimation of the true rank of a noisy matrix

Yunjin Choi, Stanford University

15:00-15:30

Supervised Dimensionality Reduction for Exponential Family Data with an Application to Electronic Health Records

Andrew Landgraf, Battelle Memorial Institute

15:30-16:00

Informative predictor subspace: Construction and estimation

Jae Keun (Peter) Yoo, Ewha Womans University, Korea

Session IP2b2

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Shape Constrained Inference II

Organizer: Bodhisattva Sen, Columbia University
Chair: Adityanand Guntuboyina, University of California, Berkeley
Time: Saturday, 14:30–16:00
Room: LInC 268

14:30-15:00

Denoising Flows on Trees

Sabyasachi Chatterjee, University of Chicago

15:00-15:30

Effective Dose estimation via Single Index Models

Hanna  Jankowski, York University

15:30-16:00

On Multivariate Convex Regression

Bodhisattva Sen, Columbia University

Session IP2b3

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Statistics in Climate Sciences

Organizer: Ansu Chatterjee, University of Minnesota
Chair: Somak Dutta, Iowa State University
Time: Saturday, 14:30–16:00
Room: LInC 314

14:30-15:00

A Bayesian model for forecasting precipitation extremes under climate change

Evan Kodra, risQ Inc

15:00-15:30

Compression and Conditional Emulation of Climate Model Output

Dorit Hammerling, NCAR

15:30-16:00

On a resampling-based method for evaluating climate model outputs

Ansu Chatterjee, University of Minnesota

Session IP2b4

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Variable Selection Approaches and Applications in Public Health

Organizer: Saonli Basu, University of Minnesota
Chair: Saonli Basu, University of Minnesota
Time: Saturday, 14:30–16:00
Room: LInC 368

14:30-15:00

Conditional Screening for Ultra-high Dimensional Covariates with Survival Outcomes

Hyokyoung Grace Hong, Michigan State University

15:00-15:30

Variable selection for genetic data in the presence of hierarchical structure

Lin Zhang, University of Minnesota

15:30-16:00

A Composite Group Penalization for Grouped Variable Selection with Prior Information

Yuan Jiang, Oregon State University