Author: Lim, Heeju

Nalini Ravishanker appointed as an Editor-in-Chief of the journal of Applied Stochastic Models in Business and Industry (ASMBI).

We would like to let you know that effective Jan 1, 2024, Nalini Ravishanker has taken over from Fabrizio Ruggeri as EIC of the journal Applied Stochastic Models in Business and Industry (ASMBI). Applied Stochastic Models in Business and Industry is a peer-reviewed journal at the interface of stochastic modelling, data analysis and their applications in […]

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 […]

Statistics Colloquium: Reetam Majumder, North Carolina State University

Modeling Extremal Streamflow using Deep Learning Approximations and a Flexible Spatial Process Presented by Reetam Majumder, North Carolina State University Thursday, January 18 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) Quantifying changes in the probability and magnitude of extreme […]