Tags: Colloquium Series

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

An Efficient Search of Optimal Experimental Design via Swarm Intelligence
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
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)
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
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 …
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…
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…
Estimating diversity and relative abundance in microbial communities High-throughput sequencing has advanced our understanding of the role that bacteria and archaea play in marine, terrestrial and host-associated health. Microbial community ecology differs in many ways from macroecology, and therefore new statistical methods are required to analyze microbiome data. In this talk I will present two new statistical methods for the analysis of…
Nonparametric Estimation of a Two-component Mixture Model with application to Multiple Testing    We consider estimation and inference in a two-component mixture model where the distribution of one component is completely unknown. We develop methods for estimating the mixing proportion and the unknown distribution nonparametrically, given i.i.d. data from the mixture model. We use ideas from shape restricted function estimation…