The Department of Statistics Seminar Series is open to the public during the academic year and takes place on select Thursdays from 4-5 p.m. in 6011 Donald Bren Hall (unless noted). For additional information, please contact Seminar Administrative Coordinator: Lisa Stieler at lstieler@uci.edu or (949) 824-3806.
Past Statistics Seminar Series:
2023-24 • 2022-23 • 2021-22 • 2020-21 • 2019-20 • 2018-19 • 2017-18 • 2016-17 • 2015-16 • 2014-15 • 2013-14 • 2012-13 • 2011-12 • 2010-11
Spring 2024
April 11
Zhe Fei
Assistant Professor, UC Riverside
U-learning for Prediction Inference via Combinatory Multi-Subsampling: With Applications to LASSO and Neural Networks
April 18
Dehan Kong
Associate Professor, University of Toronto
Causal Inference on Distribution Functions
April 25
Ji Zhu
Professor, University of Michigan
Statistical Network Analysis: Estimation and Inference
May 2
Jelena Bradic
Professor, UC San Diego
Dynamic Treatment Effects: High-dimensional Inference Under Model Misspecification
May 9
Eric Laber
Professor, Duke University
Reinforcement Learning for Respondent-Driven Sampling
May 16
Tanya Garcia
Associate Professor, University of North Carolina-Chapel Hill
Evaluating the Robustness and Efficiency of Estimators for Informative Covariate Censoring
May 23
Jie Peng
Professor, UC Davis
Learning Latent Graphs from Stationary Signals
Winter 2024
January 18
Carter Butts
Chancellor’s Professor, Departments of Sociology, Statistics, Computer Science and EECS, UC Irvine
Modeling Ensembles of Networks
January 25
Ben Shaby
Associate Professor, Department of Statistics, Colorado State University
Semiparametric Estimation of the Shape of the Limiting Multivariate Point Cloud
February 1
Amy Braverman
Principal Statistician, Jet Propulsion Laboratory
Uncertainty Quantification for Remote Sensing Data
February 15
Matt Koslovsky
Assistant Professor, Department of Statistics, Colorado State University
Accommodating Measurement Error in Multivariate Compositional Count Data with Applications to Microbiome Research
February 22
Jessica Jingyu Li
Professor, Departments of Statistics and Human Genetics and Biomathematics, UCLA
ClusterDE: A Post-clustering Differential Expression (DE) Method Robust to False-positive Inflation Caused by Double Dipping
February 27
Xihong Lin
Professor, Departments of Biostatistics and Statistics, Harvard University
Ensemble Methods for Testing a Global Null with Applications in Whole Genome Sequencing Studies
*Distinguished Speaker
February 29
Bhramar Mukherjee
Distinguished Professor, Department of Biostatistics Professor, Departments of Epidemiology and Global Public Health, University of Michigan
The Data Struggle of the Unseen
*Distinguished Speaker
March 7
Donatello Telesca
Professor, Department of Biostatistics, UCLA
Modeling Functional Brain Imaging Data with Mixed Membership Models
March 14
Vianey Leos Barajas
Assistant Professor, Department of Statistics Sciences and School of the Environment, University of Toronto
Extending Multivariate Hidden Markov Models
Fall 2023
September 28
Dan Gillen
Chancellor’s Professor and Chair, Department of Statistics, UC Irvine
State of the UCI Statistics Department
October 10 (Tuesday, Calit2 Auditorium)
Yingying Fan
Centennial Chair in Business Administration and Professor in Data Sciences and Operations, USC Marshall
Robust Knockoffs Inference with Coupling
October 19
Sudipto Banerjee
Professor and Chair, Department of Biostatistics, UCLA
Process-based Inference for Actigraph Data from Wearable Devices
November 2
Chengchun Shi
Associate Professor, Department of Statistics at London School of Economics and Political Science
Statistical Inference in Reinforcement Learning
November 9
Rebecca A Betensky
Professor and Chair, Department of Biostatistics, NYU
Estimation and Regression for Sequentially-truncated Data
November 16
Yulia Gel
Professor, Department of Mathematical Sciences, University of Texas, Dallas
Topological Clustering of Multilayer Networks
November 28 (Tuesday)
Guo Yu
Assistant Professor, Department of Statistics and Applied Probability, UC Santa Barbara
Some New Perspectives on Sparse Estimation of Large Covariance/precision Matrices: Repeated Measurements, Regularization Tuning, and Covariate Adjustment
November 30
Baolin Wu
Professor of Biostatistics, UC Irvine
A Novel Statistical Modeling Framework to Estimate Clinical Outcome Risks Using Electronic Health Records with Only Aggregate Patient Level Data