Tags: Colloquium Series

The Statistics Department hosts weekly colloquia on a variety of statistcal subjects, bringing in speakers from around the world.


Deborah Kunkel


Whitney Huang

One of the commonly used approaches to estimating extremes is the peaks-over-threshold (POT) method. The POT method models exceedances over a threshold that is sufficiently high so that the exceedance has approximately a generalized Pareto distribution (GPD). This method requires the selection of a threshold that might affect the estimates. Here we propose an alternative method, the Log-Histospline (LHSpline), to explore modeling the tail…


Frederick Kin Hing Phoa

An Efficient Search of Optimal Experimental Design via Swarm Intelligence


YingYing Wei

Yingying Wei from the Chinese University of Hong Kong will be giving a talk in our seminar series Friday, March 29 at 3:30pm in Caldwell 102. Meta-clustering of Genomic Data


Brady T. West

Dr. Brady T. West will be giving two talks. One will be at 3:30pm (see here) and the other will begin at 4:30pm (see here)


2019 Bradley Lecture

Agenda 3:30 - 4:00pm- Arrival  4:00 - 5:00pm- Lecture, Dr. Art Owen, Stanford University 5:00 - 6:00pm- Happy Hour (light refreshments will be served) 6:00 - 8:00pm- Dinner and After-Dinner Talk, Dr. Art Owen, Stanford University


Joseph Simmons


Takashi Owada

Takashi Owada is an assistant professor of Department of Statistics in Purdue University. Prior to joining Purdue, he was a postdoc researcher at Technion-Israel Institute of Technology, and received his PhD in Operations Research at Cornell University. His research interests lie in random topology, topological data analysis, random graph theory, heavy tail probability, extreme value theory, and …


Zhao Ren

Robust Estimation under Huber's Contamination Model This talk describes some new challenges and results in high-dimensional and nonparametric statistics under the celebrated Huber’s contamination model. We particularly focus on the influence of contamination on the minimax rates and the corresponding rate-optimal procedures. The first part of the talk focuses on robust covariance matrix estimation. To deal with modern complex data sets, not only…


Lingling An

Mediation Analysis of High-Dimensional Microbiome and Host Genome Data Recent studies have shown that human microbiota has a strong impact on human health and disease. However, they mainly focus on the association between human microbiota and the related diseases/health. In this research, we are interested in understanding how the microbiome and host genome jointly impact human health and disease by integrating multiple –omics data through…
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