For additional information, please contact Seminar Administrative Coordinator: Lisa Stieler at lstieler@uci.edu or (949) 824-3806.
Past Statistics Seminar Series:
2018-19 • 2017-18 • 2016-17 • 2015-16 • 2014-15 •
2013-14 • 2012-13 • 2011-12 • 2010-11
Spring 2020
April 9
Annie Qu
UC Irvine
“Integrating Multi-source Block-wise Missing Data in Model Selection”
Join seminar via Zoom.
Annie Qu
UC Irvine
“Integrating Multi-source Block-wise Missing Data in Model Selection”
Join seminar via Zoom.
April 16
Fabrizio Ruggeri
Italian National Research Council in Milano
“New Classes of Priors Based on Stochastic Orders: Theory and Applications in Reliability”
Join seminar via Zoom.
Fabrizio Ruggeri
Italian National Research Council in Milano
“New Classes of Priors Based on Stochastic Orders: Theory and Applications in Reliability”
Join seminar via Zoom.
April 23
Krishna Balasubramanian
UC Davis
“Normal Approximations for Stochastic Iterative Estimators (and Martingales)”
Join seminar via Zoom.
Krishna Balasubramanian
UC Davis
“Normal Approximations for Stochastic Iterative Estimators (and Martingales)”
Join seminar via Zoom.
April 30
Jessica Utts
UC Irvine
“Enhancing Data Science Ethics through Statistical Education and Practice”
View the seminar video.
Download the seminar slides (PDF).
Jessica Utts
UC Irvine
“Enhancing Data Science Ethics through Statistical Education and Practice”
View the seminar video.
Download the seminar slides (PDF).
May 7
Mengyang Gu
UC Santa Barbara
“Orthogonality Meets Marginalization: Fast and Flexible Gaussian Processes for Large Correlated Data”
Join seminar via Zoom.
Mengyang Gu
UC Santa Barbara
“Orthogonality Meets Marginalization: Fast and Flexible Gaussian Processes for Large Correlated Data”
Join seminar via Zoom.
May 12
Mine Dogucu
UC Irvine
“Strategies and Tools for Fair and Efficient Grading”
Join seminar via Zoom.
Mine Dogucu
UC Irvine
“Strategies and Tools for Fair and Efficient Grading”
Join seminar via Zoom.
May 19
Aurore Delaigle
University of Melbourne
“Estimating a Covariance Function from Fragments of Functional Data”
Join seminar via Zoom.
Aurore Delaigle
University of Melbourne
“Estimating a Covariance Function from Fragments of Functional Data”
Join seminar via Zoom.
May 26
Wes Johnson
UC Irvine
“Bayesian Disease Diagnosis and Diagnostic Testing”
Join seminar via Zoom.
Wes Johnson
UC Irvine
“Bayesian Disease Diagnosis and Diagnostic Testing”
Join seminar via Zoom.
June 2
Xiwei Tang
University of Virginia
“Multivariate Temporal Point Process Regression”
Join seminar via Zoom.
Xiwei Tang
University of Virginia
“Multivariate Temporal Point Process Regression”
Join seminar via Zoom.
Fall 2019
October 3
Veronica Berrocal
UCI
“Bayesian Spatio-temporal Disaggregation of Survey-based Estimates of Areal Proportions Accounting for Survey Design Effect”
Veronica Berrocal
UCI
“Bayesian Spatio-temporal Disaggregation of Survey-based Estimates of Areal Proportions Accounting for Survey Design Effect”
October 10
Sonia Petrone
Bocconi University, Milan
“On a Quasi-Bayes Procedure for Recursive Learning in Mixture Models”
Sonia Petrone
Bocconi University, Milan
“On a Quasi-Bayes Procedure for Recursive Learning in Mixture Models”
October 31
Jeff Rouder
UCI
“Who Does That? Using Order-Restricted Inference to Understand Qualitative and Quantitative Individual Differences in Cognition”
Jeff Rouder
UCI
“Who Does That? Using Order-Restricted Inference to Understand Qualitative and Quantitative Individual Differences in Cognition”
November 19
Marina Meila
University of Washington
“Unsupervised Validation for Unsupervised Learning ”
Marina Meila
University of Washington
“Unsupervised Validation for Unsupervised Learning ”
November 21
Peter Mueller
University of Texas, Austin
“Bayesian Categorical Matrix Factorization via Double Feature Allocation”
OBSIDIAN SECURITY LECTURE
Peter Mueller
University of Texas, Austin
“Bayesian Categorical Matrix Factorization via Double Feature Allocation”
OBSIDIAN SECURITY LECTURE
December 5
Heping Zhang
Yale University
“Back to the Basics: Residuals and Diagnostics for Generalized Linear Models”
Heping Zhang
Yale University
“Back to the Basics: Residuals and Diagnostics for Generalized Linear Models”