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Seminar Series 2017-2018

Unless noted otherwise, all seminars take place in Donald Bren Hall sixth floor conference room (DBH 6011) from 4 to 5 p.m.

For additional information, please contact Seminar Administrative Coordinator: Lisa Stieler at or (949) 824-3806.

Past Statistics Seminar Series:

Spring 2018

April 5
Edoardo Airoldi
Associate Professor
Harvard University
Model-assisted Design of Experiments on Networks and Social Media Platforms
April 12
Valen Johnson
University Distinguished Professor
Texas A&M University
Statistical Factors that Contribute to Non-reproducibility of Science
April 19
Esra Kurum
Assistant Professor
University of California, Riverside
Time-varying Coefficient Models for Joint Modeling of Mixed Longitudinal Outcomes
April 26
Nicholas Polson
Professor of Econometrics and Statistics
University of Chicago
Deep Learning: A Bayesian Perspective
May 9
Padhraic Smyth, Professor
Eric Nalisnick, PhD Candidate
Department of Computer Science,
University of California, Irvine
Deep Learning: A Synthesis from Probabilistic Foundations
May 10
Juhee Lee
Assistant Professor
University of California, Santa Cruz
Optimizing Natural Killer Cell Doses for Heterogeneous Cancer Patients Based on Multiple Event Times
May 17
Ivor Cribben
Assistant Professor
University of Alberta
Non-stationary High Dimensional Time Series Networks
May 24
Alexander Franks
Assistant Professor
University of California, Santa Barbara
Large-scale Covariance Estimation with Applications in Biology
May 31
Adrian Dobra
Associate Professor
University of Washington, Seattle
Human Mobility, Model Selection, and Contingency Tables
June 7
Ana Kupresanin
Lawrence Livermore National Laboratory
Role of Statistics in Scientific Computing

Winter 2018

January 11
Juanjuan Fan
Professor, Department of Mathematics and Statistics
San Diego State University
Constructing Balanced Treatment and Control Groups for Observational Study Data Using Random Forest
January 18
Sam Behseta
Professor, Department of Mathematics
California State University, Fullerton
Undergraduate Research Experiences: Insights, Challenges, and Future Roadmap
January 25
Kameryn Denaro
Project Scientist, Teaching and Learning Research Center
University of California, Irvine
Leveraging Statistics to Enhance Discipline-Based Education Research
February 1
Merlise Clyde
Professor of Statistical Science
Duke University
Bayesian Inference in a Post p-value World
February 8
Erik Erhardt
Associate Professor, Department of Mathematics and Statistics
University of New Mexico
Visualizing Scientific Data
Zhaoxia Yu
Associate Professor, Department of Statistics
University of California, Irvine
Statistical Inference through Linear Relationships, with Applications to Imaging Genetics
March 1
Rob McCulloch
Professor, School of Mathematical and Statistical Sciences
Arizona State University
Variable Selection in Non-linear Regression Models: A Parsimony-utility Approach
March 8
Marina Vannucci
Noah Harding Professor and Chair of Statistics
Rice University
Bayesian Inference on Brain Connectivity Networks Based on Multiple Graphs
March 13 (Tuesday)
Ramses Mena Chávez
Universidad Nacional Autonoma de Mexico
Decreasing Weights Bayesian Nonparametric Mixture Models and their Applications

Fall 2017

October 5
Dan Gillen
Professor and Chair, Department of Statistics
University of California, Irvine
Department overview and welcome to our new faculty Bin Nan and Vladimir Minin
October 12
Michael Lee
Department of Cognitive Sciences, School of Social Sciences
University of California, Irvine
Title: Some examples of using Bayesian statistics in modeling human cognition
October 19
Lexin Li
Division of Biostatistics
University of California, Berkeley
Title: Tensor Response Regression and Neuroimaging Analysis
October 26
Iván Fernández‐Val
Boston University
Title: Network and Panel Quantile Effects via Distribution Regression
Econ/Stat joint seminar
November 2
Hashem Pesaran
University of Southern California
Title: A One Covariate at a Time, Multiple Testing Approach to Variable Selection in High-Dimensional Linear Regression Models
Econ/Stat joint seminar
November 9
James Flegal
Department of Statistics
University of California, Riverside
Title: Multivariate Output Analysis for MCMC
November 16
Wesley Johnson
Department of Statistics
University of California, Irvine
Title: Comparing Objective and Subjective Bayes Factors for the Two-Sample Comparison
November 21*
Jarad Niemi
Iowa State University
Title: Fully Bayesian Analysis of Hierarchical Count Regression Models
*Tuesday in DBH 2011
November 30
Gang Li
Departments of Biostatistics and Biomathematics
University of California, Los Angeles
Title: Scalable Sparse Regression for Large Medical Data
December 7
Dehan Kong
Department of Statistical Sciences
University of Toronto
Title: Object Oriented Data Analysis in Neuroimaging Studies

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