Events

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 […]

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 […]

Statistics Colloquium: William Consagra, Harvard Medical School

Continuous Statistical Models for Modern Computational Neuroscience Presented by William Consagra, Harvard Medical School Monday, January 29 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) Recent advances in neuroimaging technologies hold great promise to bolster our understanding of the structure […]

Statistics Colloquium: Xingche Guo, Columbia University

Characterizing Human Reward-based Decision-making Behavior with Reinforcement Learning Models Presented by Xingche Guo, Columbia University Tuesday, February 6 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) Major depressive disorder (MDD) is one of the leading causes of disability-adjusted life years. […]

Statistics Colloquium: Sen Na, University of California, Berkeley

Practicality meets Optimality: Real-Time Statistical Inference under Complex Constraints Presented by Sen Na, University of California, Berkeley Thursday, February 8 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) Constrained estimation problems are prevalent in statistics, machine learning, and engineering. These […]