Title: Group-level network inference via l_0 shrinkage and graph combinatorics  Abstract: We consider group-level statistical inference for networks, where the outcome variables of each...

Title: An Overview of the Census 2020 Post-Enumeration Survey of Census Coverage and Current Research Problems Abstract: The Census Bureau will conduct a Post-Enumeration Survey (PES) to...

Title:  Testing Equivalence with Perfect Rankings in Ranked-Set Sampling Abstract:  In ranked-set sampling (RSS), how well a statistical inference procedure performs often varies...

Title: Semiparametric Imputation using Conditional Gaussian Mixture Models under Item Nonresponse Abstract: Imputation is a popular technique for handling item nonresponse in survey sampling....

Title: Optimal post-donation blood screening strategies under uncertainty Abstract: Blood products are essential components of any healthcare system, and their safety, in terms of being free...

Title: Proportional Closeness Estimation of Probability of Contamination Under  Group Testing Abstract: The objective is to estimate the probability of contamination of a disease in a give...

Title: Predictive Modeling, Penalized Regression, and JMP tips -- What Statisticians Have to Offer to Data Science Abstract: In this talk I will cover popular predictive models and model...

Title: Bayesian Regularization for Gaussian Graphical Models Abstract: In this talk, I will present a Bayesian framework for estimating a high-dimensional sparse precision matrix, in which...

Title: Factor models for multigroup data Abstract: Many modern data sets require inference methods that can estimate the shared and individual-specific components of variability in...

Title:  Statistical Challenges in Assessing the Equivalence of Complex Generic Products  Abstract:  Under current drug marketing regulations, generic products are considered therapeutically...