Department of Statistics Seminars and Events

Spring 2021 Seminars:

Date and Time	Title	Speaker
March 29, 4:00 pm	Fitting Mixed Models to Complex Samples Is Surprisingly Hard	Thomas Lumley, Dept. of Statistics, University of Auckland
April 5, 4:00 pm	Sometimes All We Have Are Pictures and Fear	Dan Simpson, Dept. of Statistical Science, University of Toronto
April 12, 4:00 pm	Martingale Posterior Distributions	Stephen Walker, Dept. of Statistics and Data Sciences, UT Austin
April 19 4:00 pm	Differentially Private Methods for Bayesian Model Uncertainty in Linear Regression Models	Andrés Felipe Barrientos, Dept. of Statistics, Florida State University
April 26, 4:00 pm	Parallel Tempering on Optimized Paths	Trevor Campbell, Dept. of Statistics, University of British Columbia
May 3, 4:00 pm	A Flexible and Efficient Algorithm for Joint Imputation of General Data	Michael Robbins, RAND
May 10, 4:00 pm	Deep Neural Assisted Integro-difference Equation Statistical Models for Spatio-temporal Forecasting	Christopher Wikle, Dept. of Statistics, University of Missouri
May 17, 4:00 pm	A Dynamic Bayesian Nonparametric Repulsive Point Process for Human Mobility Modeling	Claudia Wehrhahn, Dept. of Statistics, UC Santa Cruz
May 24, 4:00 pm	A Storage Model Analysis of Daily Snow Depths	Jon Woody, Dept. of Mathematics and Statistics, Mississippi State University

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