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 andthe unknown distribution nonparametrically, given i.i.d. data from the mixture model. We use ideas from shape restricted function estimation and develop "tuning parameter-free" estimators that are easily 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 are limited to cover some specific topics. eStat, www.estat.me, is a Tue, 01/29/2019 - 3:30pm Type of Event: Colloquium Series Read more about Jungjin Lee
