Title: Novel Two-Phase Sampling Designs for Studying Binary Outcomes Abstract: In a biomedical cohort study for assessing the association between an outcome variable and a set of covariates, it...

Title: A Conway-Maxwell-Multinomial Distribution for Flexible Modeling of Clustered Categorical Data Abstract: Categorical data are often observed as counts resulting from a fixed number of...

Title: Variational inference: recent theoretical developments  Abstract:   In this talk, we aim to understand statistical properties of variational inference, an approximate method for...

Title: Classification of Categorical Time Series Using the Spectral Envelope and Optimal Scalings   Abstract: This work introduces a novel approach to the classification of categorical time...

Title: On the Development of Local FDR-Based Approach to Testing Two-Way Classified Hypotheses Abstract: Multiple testing of two-way classified hypotheses controlling false discoveries is a...

Title: Causal inference of latent classes in complex survey data with the estimating equation framework Abstract: Latent class analysis (LCA) has been effectively used to cluster multiple...

Title:  Ice Model Calibration Using Semi-continuous Spatial Data Abstract: Rapid changes in Earth's cryosphere caused by human activity can lead to significant environmental impacts. Computer...

Title: Exploratory Factor Analysis for Data on a Sphere Abstract: Many modern applications, for example, those involving text, image or genetic data, often yield, after processing,...

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: Model Informed Drug Development (MIDD): Opportunities for Collaboration  Abstract: To facilitate the application of exposure-based, biological, and statistical models in the...