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. […]
Author: Lim, Heeju
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 […]
Interdisciplinary Seminar: Dr. Irini Moustaki, London School Of Economics
Some New Developments On Pairwise Likelihood Estimation & Testing In Latent Variable Models Presented by DR. IRINI MOUSTAKI, LONDON SCHOOL OF ECONOMICS Friday, December 1 11:00 a.m. ET Virtual meeting – Webex meeting link Pairwise likelihood is a limited-information method used to estimate latent variable models, including factor analyses of categorical data. It avoids evaluating […]
Joint Collaborative Statistics Colloquium: Jun Yan, University of Connecticut
Joint Collaborative Statistics Colloquium Network analytics with applications to input-output tables Presented by Professor Jun Yan, Department of Statistics, University of Connecticut Thursday, Dec. 7 2023 8:00 PM-9:00 PM ET (Friday, Dec. 8, 9 AM Beijing) AUST 110 Webex Meeting Link Voov Meeting Link (meeting id: 861-447-545) Weighted, directed networks defined by national or multi-regional […]
Becoming Career Ready: Skills Employers Seek
On November 30th from 5PM – 6PM, join staff from the Center for Career Development, a Statistics Alum, and a University Recruiter for Statistics, Mathematics-Statistics, and Statistical Data Science majors as they discuss how the NACE Career Competencies can be influential in the internship/job application process. Learn more about what the NACE Career Competencies are, why […]
UConn/UMass Joint Colloquium: Dipak Dey, University of Connecticut
Generalized Variable Selection Algorithms for Gaussian Process Models Presented by Dipak Dey University of Connecticut Webpage: http://merlot.stat.uconn.edu/~dey/ Wednesday, Nov 8 2023 4:00 PM-5:00 PM ET UMass LGRT 1681 Zoom Meeting Link With the rapid development of modern technology, massive amounts of data with complex pattern are generated. Gaussian process models that can easily fit the […]
Statistics Colloquium: Davide Viviano, Harvard University
Policy Targeting under Network Interference Econometrics-Statistics Joint Seminar Presented by Davide Viviano , PhD Harvard University Host: Jungbin Hwang/Yao Zheng Friday, Oct 27 2023 1:25 PM-2:45 PM ET OAK 337 Zoom Meeting Link This paper studies the problem of optimally allocating treatments in the presence of spillover effects, using information from a (quasi-)experiment. I introduce a method […]