“The Inner Partial Least Square – A Probe Into the “Necessary” Dimension Reduction,” presented by Lan Liu, Associate Professor, Director of the Consulting Center, School of Statistics, University of Minnesota
Events
Paper of the Month: April 2022
Liu, Y., & Xie, J. (2020). Cauchy Combination Test: A Powerful Test With Analytic p-Value Calculation Under Arbitrary Dependency Structures Journal of the American Statistical Association, 115(529), 393-402.
Statistics Colloquium: Taylor Arnold, University of Richmond
“Data Science for Image Analysis,” presented by Taylor Arnold, Associate Professor, Department of Mathematics, University of Richmond
Interdisciplinary Seminar: Elizabeth Stuart, Johns Hopkins Bloomberg School of Public Health
“Combining Experimental and Population Data to Estimate Population Treatment Effects,” presented by Dr. Elizabeth Stuart, Johns Hopkins Bloomberg School of Public Health
Statistics Colloquium: Naitee Ting, Boehringer Ingelheim
“Case Study – Clinical Development of an Anti-inflammatory Drug,” presented by Naitee Ting, Fellow of American Statistical Association, Director in the Department of Biostatistics and Data Sciences at Boehringer Ingelheim Pharmaceuticals
Statistics Colloquium: Bhaswar B. Bhattacharya, University of Pennsylvania
“Distribution-Free Nonparametric Inference Based on Optimal Transport: Efficiency Lower Bounds and Rank-Kernel Tests,” presented by Bhaswar B. Bhattacharya, Assistant Professor, Wharton Statistics Department, University of Pennsylvania
Interdisciplinary Seminar: Donald Hedeker, University of Chicago
“Shared Parameter Mixed-Effects Location Scale Models for Intensive Longitudinal Data,” presented by Dr. Donald Hedeker, University of Chicago
Statistics Colloquium: Paul A. Parker, University of California Santa Cruz
“Computationally Efficient Bayesian Unit-Level Modeling of Non-Gaussian Survey Data under Informative Sampling,” presented by Paul A. Parker, Assistant Professor, Department of Statistics, University of California Santa Cruz
NYC Open Data Case Studies from Introduction to Data Science at UConn
The STAT 5255/3255 class (Introduction to Data Science) is scheduled to present to the public on March 8, at 3:30 pm ET, as part of the NYC Open Data Week event. There will be four group presentations on two NYC Open data sets: NYC motor vehicle collisions and NYC Department of Buildings job applications.
Paper of the Month: March 2022
Chib, S., (1995). Marginal Likelihood From the Gibbs Output. Journal of the American Statistical Association, 90, 1313-1321.