Speaker: DoHwan Park Location: B204 Date and Time: Oct 17
About the Speaker: Dr. Xiaolin Li
2025.08 - present : Assistant Professor, SUNY Korea
2015 - 2025, Associate Professor, Department of Mathematics and Statistics, University of Maryland, Baltimore County, USA
2019 - 2021 Visiting Professor, Department of Statistics, Seoul National University, Korea
2016, Visiting Scholar, Computational Biology Branch, National Center for Biotechnology Information, National Institute of Health, USA
2009 - 2015, Assistant Professor, Department of Mathematics and Statistics, University of Maryland, Baltimore County, USA
2005 - 2008, Assistant Professor, Department of Mathematics and Statistics, University of Nevada, Reno, USA
Ph.D. July, 2005, Statistics, University of Missouri-Columbia, USA
B.S. August, 1999, Statistics, Ewha Womans University, Korea
Abstract
In this lecture, we introduce the basic concepts of multiple testing procedures and examine their applications across
diverse domains of modern statistics.
We present a range of methodological approaches together with illustrative case studies.
In particular, we highlight settings in which mixture null distributions have been employed, including the analysis of microarray gene expression data, functional magnetic resonance imaging (fMRI) data, protein domain count data, and ChIP-seq data with SET4 protein deletion.