State of the Department 2023
Dan Gillen
UC Irvine
Welcome back for the 2023-24 academic year! During this seminar I will highlight department, faculty, and student achievements from our past year and welcome our…
ICS Calendar
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Robust Knockoffs Inference with Coupling
Yingying Fan
Centennial Chair, Business Administration Professor, Data Sciences and Operations, USC Marshall
We investigate the robustness of the model-X knockoffs framework with respect to the misspecified or estimated feature distribution. We achieve such a goal by theoretically…
Statistical Inference in Reinforcement Learning
Chengchun Shi
Associate Professor, Department of Statistics at London School of Economics and Political Science
Reinforcement learning (RL) is concerned with how intelligence agents take actions in a given environment to maximize the cumulative reward they receive. In healthcare, applying…
Topological Clustering of Multilayer Networks
Yulia Gel
Professor, Department of Mathematical Sciences University of Texas, Dallas
Multilayer networks continue to gain significant attention in many areas of study, particularly, due to their high utility in modeling interdependent systems such as critical…
Distinguished Lecture: Some New Perspectives on Sparse Estimation of Large Covariance/Precision Matrices: Repeated Measurements, Regularization Tuning, and Covariate Adjustment
Guo Yu
Assistant Professor, Department of Statistics and Applied Probability, UC Santa Barbara
Estimating large covariance/precision matrices are fundamental problems in modern multivariate statistics. Virtually all of the existing methods in this literature assume independent samples. In the…
A Novel Statistical Modeling Framework to Estimate Clinical Outcome Risks Using Electronic Health Records with Only Aggregate Patient Level Data
Baolin Wu
Professor of Biostatistics, UC Irvine
When conducting analysis of electronic health records (EHR), oftentimes the data utilized is patient level data which readily allows for statistical analyses that properly adjust…
Modeling Ensembles of Networks
Carter Butts
Chancellor's Professor Departments of Sociology, Statistics, Computer Science and EECS, UC Irvine
Abstract: Parametric models for networks with heterogeneity and/or complex dependence have seen considerable progress over the past two decades, opening the door to further modeling…
Semiparametric Estimation of the Shape of the Limiting Multivariate Point Cloud
Ben Shaby
Associate Professor of Statistics, Colorado State University
Abstract: We propose a model to flexibly estimate joint tail properties by exploiting the convergence of an appropriately scaled point cloud onto a compact limit…