“Joint Inference of ROC Measures for Diagnostic Biomarker/Test Evaluation”, presented by Jingjing Yin, Associate Professor of Biostatistics, Jiann-Ping Hsu College of Public Health, Georgia Southern University.
Events
Statistics Colloquium: Paul Cislo, Pfizer
“Applications of Finite Mixture Models”, presented by Paul Cislo, PhD., Statistical Research and Data Science Center, Pfizer, Inc.
Interdisciplinary Seminar: Ben Domingue, Stanford University
“Bookmaking for Binary Outcomes: Prediction, Profits, and the IMV”, presented by Ben Domingue, Stanford University.
An Interactive Session About Networking
Join the Center for Career Development and Statistics Department for an interactive session about networking and how it can benefit the internship and job searches.
Paper of the Month: March 2023
David M. Blei, Alp Kucukelbir & Jon D. McAuliffe (2017) Variational Inference: A Review for Statisticians, Journal of the American Statistical Association, 112:518, 859-877.
Statistics Colloquium: Gemma Moran, Columbia University
“Identifiable Deep Generative Models via Sparse Decoding”, presented by Gemma Moran, Postdoctoral Research Scientist, Data Science Institute, Columbia University.
Statistics Colloquium: Richard Guo, University of Cambridge
“Harnessing Extra Randomness: Replicability, Flexibility and Causality”, presented by Richard Guo, Department of Pure Mathematics and Mathematical Statistics, University of Cambridge.
Statistics Colloquium: Matteo Bonvini, Carnegie Mellon University
“Optimal Subgroup Identification”, presented by Matteo Bonvini, Department of Statistics and Data Science, Carnegie Mellon University.
Statistics Colloquium: Guanyu Hu, University of Missouri
“Bayesian Spatial Homogeneity Learning for Functional Data”, presented by Guanyu Hu, Department of Statistics, University of Missouri.
Statistics Colloquium: Ying Zhou, University of Toronto
“The Promises of Parallel Outcomes”, presented by Ying Zhou, Department of Statistics, University of Toronto.