Variable selection with a biased sample using tilted knockoffs Presented by Qian Zhao, University of Massachusetts, Amherst Wednesday, April 3, 2024 4:00 PM-5:00 PM ET AUST 163 Webex Meeting Link Coffee will be served at 3:30 pm in the Noether Lounge (AUST 326) Researchers in biomedical studies often work with biased samples that are not […]
Events
Statistics Colloquium: Antonio Punzo, University of Catania
Advances in the use of the multivariate contaminated normal distribution in model-based clustering Presented by Antonio Punzo, Department of Economics and Business, University of Catania Wednesday, April 10 2024 4:00 PM-5:00 PM ET AUST 163 Webex Meeting Link Coffee will be served at 3:30 pm in the Noether Lounge (AUST 326) The multivariate contaminated normal […]
Statistics Colloquium: Dongjin Song, University of Connecticut
Towards Knowledge Informed Time Series Forecasting Presented by Dongjin Song, School of Computing, University of Connecticut Wednesday, March 27 2024 4:00 PM-5:00 PM ET AUST 163 Webex Meeting Link Coffee will be served at 3:30 pm in the Noether Lounge (AUST 326) Time series forecasting has been widely applied across various domains such as healthcare, […]
Interdisciplinary Seminar: Dr. Zhiliang Ying, Columbia University
Some Recent Developments in Educational and Psychological Measurement Presented by Dr. Zhiliang Ying, Columbia University Friday, 03/29/2024, 11am ET In-Person: AUST 202 Virtual: https://tinyurl.com/rmme-Ying Meeting # 2634 178 3188 Password: RMMESTAT cmr.webex.com You can also dial 173.243.2.68 and enter your meeting number. Join by phone: +1-415-655-0002 US Toll Access code: 263 417 83188 Measurement theory […]
Robert W. Makuch Distinguished Lecture in Biostatistics: Roderick J. Little, University of Michigan
Some Reflections on Rosenbaum and Rubin’s Propensity Score Paper Presented by Roderick J. Little Richard D. Remington Distinguished University Professor of Biostatistics Department of Biostatistics, University of Michigan Wednesday, April 24, 2024 4:00 PM-5:00 PM ET AUST 163 Webex Meeting Link Coffee will be served at 3:30 pm in the Noether Lounge (AUST 326) Rosenbaum […]
Statistics Colloquium: Himchan Jeong, Simon Fraser University
Integration of Traditional and Telematics Data for Efficient Insurance Claims Prediction Presented by Himchan Jeong, Simon Fraser University Thursday, February 21 2024 4:00 PM-5:00 PM ET AUST 163 Webex Meeting Link Coffee will be served at 3:30 pm in the Noether Lounge (AUST 326) While driver telematics has gained attention for risk classification in auto […]
Ph.D. student Xiaohui Yin won the 2024 ASA Mental Health Statistics Section Student Paper Award
Ph.D. student Xiaohui Yin won the 2024 ASA Mental Health Statistics Section Student Paper Award based on her joint work with Professor Kun Chen “Salvaging Forbidden Treasure in Medical Data: Utilizing Single-Record Data to Improve Suicide Risk Prediction via Integrative Learning”.
Statistics Colloquium: Qing Guo, Virginia Tech
Variational Mutual Information Estimation: from Data Collection to Large Vision-Language Models Presented by Qing Guo, Virginia Tech Tuesday, January 30 2024 3:30 PM-4:30 PM ET AUST 105 Webex Meeting Link Coffee will be served at 3:00 pm in the Noether Lounge (AUST 326) In today’s digital landscape, the deluge of data across various domains can […]
Statistics Colloquium: Wenrui Li, University of Pennsylvania
Robust Statistical Methods for Noisy Complex Network Data Presented by Wenrui Li, University of Pennsylvania Thursday, February 1 2024 3:30 PM-4:30 PM ET AUST 105 Webex Meeting Link Coffee will be served at 3:00 pm in the Noether Lounge (AUST 326) In recent years there has been an explosion of network data from seemingly all […]
Statistics Colloquium: Daren Wang, University of Notre Dame
Nonparametric Estimation via Variance-Reduced Sketching Presented by Daren Wang, University of Notre Dame Thursday, January 25 2024 3:30 PM-4:30 PM ET AUST 105 Webex Meeting Link Coffee will be served at 3:00 pm in the Noether Lounge (AUST 326) Nonparametric models are of great interest in various scientific and engineering disciplines. Classical kernel methods, while […]