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Past Events

Calendar | Event List | Past Events

Speaker(s) / Presenter(s) Date
Is a Classification Procedure Good Enough?—A Goodness-of-Fit Assessment Tool for Classification Learning Jiawei Zhang -
Bayesian Hierarchical Modeling for Inferring the Causal Relationship Between Human Activities and Climate Change Impacts Samuel Baugh -
Objective Bayesian Model Selection for Spatial Hierarchical Models with Intrinsic Conditional Autoregressive Priors Erica Porter -
Model-Free Conditional Feature Screening with FDR Control Zhaoxue Tong -
The Promises of Parallel Outcomes Ying Zhou -
High-Dimensional Directed Network Analysis of Human Brains Yaotian Wang -
New Biomarker Evaluation Metrics and their Inferences Lili Tian, Ph.D -
Epsilon-greedy strategy for nonparametric bandits Sakshi Arya -
Individual- and Community-Level Disease Risk Prediction through the Integration of Information across Disparate Data Sources Dr. Jin Jin -
A joint directed acyclic graph estimation model to detect aberrant brain connectivity in schizophrenia Dr. Aiying Zhang -
Novel Methods for Multi-ancestry Polygenic Prediction and their Evaluations in 3.7 Million Individuals of Diverse Ancestry Dr. Haoyu Zhang
R.L. Anderson Lecture - Unlikely Likelihoods Dr. Roger Koenker, University College London -
Topological Clustering of Multilayer Networks Dr. Yulia Gel, NSF and University of Texas - Dallas
Bayesian Registration of Real-Valued Functions Dr. Yi Lu - Drew University
Robust Sample Weighting to Facilitate Individualized Treatment Rule Learning for a Target Population Dr. Menggang Yu - University of Wisconsin - Madison
Genome-wide association and ancestry analysis in admixed populations Dr. Tesfaye Mersha - Cincinnati Children’s Hospital Medical Center and University of Cincinnati
High-Dimensional General Linear Hypothesis Tests via Spectral Shrinkage Dr. Haoran Li - Columbia University
Mixture representations for likelihood ratio ordered distributions Dr. Michael Jauch - Cornell University
Distributional data analysis via quantile functions and its application to modeling digital biomarkers of gait in Alzheimer’s Disease Dr. Rahul Ghosal - Johns Hopkins University
Bayesian Inverse Reinforcement Learning for Collective Animal Movement Dr. Toryn Schafer - Cornell University
Dr. Mai Zhou Retirement Celebration Dr. Mai Zhou and others
Big Data and Big Challenges. A Lesson in Formulating and Solving Problems Statistically Dr. Joshua Lambert, University of Cincinnati
Copula-Based Bivariate for Poisson Time Series Models Dr. Norou Diawara, Old Dominion University
An MM algorithm for estimation of a two-component semiparametric density mixture with a known component Dr. Michael Levine, Purdue University
A Program for Pharmacokinetic Analysis: An Exercise in Computational Modeling Dr. David Allen, University of Kentucky