Joseph Simmons Thu, 04/18/2019 - 3:30pm Type of Event: Colloquium Series Read more about 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 long range dependence. Thu, 04/11/2019 - 3:30pm Type of Event: Colloquium Series Read more about Takashi Owada
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. Thu, 04/04/2019 - 3:30pm Type of Event: Colloquium Series Read more about Zhao Ren
Lingling An Mediation Analysis of High-Dimensional Microbiome and Host Genome Data Thu, 03/07/2019 - 3:30pm Type of Event: Colloquium Series Read more about Lingling An
Amy Willis Estimating diversity and relative abundance in microbial communities Tue, 03/05/2019 - 3:30pm Type of Event: Colloquium Series Read more about Amy Willis
Bodhi Sen 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 Thu, 02/28/2019 - 3:30pm Type of Event: Colloquium Series Read more about Bodhi Sen
Michael Lavine Assessing Procedures vs Assessing Evidence Many statistical analyses are characterized by how often a procedure works: how often an interval covers a true value, a null hypothesis is rejected, an item is correctly classified, etc. But assessing how often a procedure works differs from assessing the evidence in a data set. Understanding the difference is prerequisite to understanding what matters in a given analysis: the procedure, the evidence, or both. Tue, 02/26/2019 - 3:30pm Type of Event: Colloquium Series Read more about Michael Lavine
Jungjin Lee Developing an Web-based Dynamic Graphical Software for Statistics Education, eStat Recent advance in IT and network technology has enabled to develop the statistical packages such as SAS, SPSS and R for mass data processing. However, these well-known packages have not paid their attention to develop a module for statistics education. Many individual developers have developed software for statistics education, but the most of them Tue, 01/29/2019 - 3:30pm Type of Event: Colloquium Series Read more about Jungjin Lee