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 […]
Author: Lim, Heeju
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 […]
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: Wei Deng, Morgan Stanley
Non-convex Bayesian Learning via Stochastic Gradient MCMC and Schrödinger Bridge Presented by Wei Deng, Morgan Stanley Monday, February 5 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) Generating models from data relies on Monte Carlo methods; generating data from models […]
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: Maoran Xu, Duke University
Identifiable and interpretable nonparametric factor analysis Presented by Maoran Xu, Duke University Monday, January 22 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) Factor models have been widely used to summarize the variability of high-dimensional data through a set of […]
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 […]
Statistics Colloquium: Trevor Harris, Texas A&M University
Multi-model Ensemble Analysis with Neural Network Gaussian Processes Presented by Trevor Harris, Texas A&M University, Department of Statistics Tuesday, January 16 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) Multi-model ensemble analysis integrates information from multiple climate models into a […]