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Department of Statistics Seminars and Events

Spring 2021 Seminars:

Date and Time
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 


Other Upcoming Events:

O'Bayes 2022, September 7-10, 2022

Past Seminars:

2020 - 2021