“Modeling Coarsened Categorical Variables: Techniques and Software, ” presented by Joseph Schafer, United States Census Bureau.
Events
Statistics Colloquium: Jing Qin, National Institute of Allergy and Infectious Diseases
“A Shape Restricted Propensity Score Matching Method in Casual Inference,” Presented by Jing Qin, PhD, National Institute of Allergy and Infectious Diseases.
Statistics Colloquium: Shouhao Zhou, Pennsylvania State University
“Predictive Bayes Factors with an Application Model-Assisted Design,” Presented by Shouhao Zhou, Department of Public Health Services, Division of Biostatistics and Bioinformatics, Penn State Cancer Institute, Pennsylvania State University.
Statistics Colloquium: Jingjing Yin, Georgia Southern University
“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.
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.