BAYESIAN DATA SCIENCE SEMINAR SERIES
The department of decision sciences presents the “Bayesian data science seminar series”.
All UNH faculty and students are welcome to attend. To get updates on all other data science related activities at UNH, you can sign up for the UNH data science mailing list here. For an interdisciplinary data science seminar series at UNH, please visit here.
→ Talk title: Adversarial Risk Analysis Framework for Reliability Modeling, abstract
9/25, 3:30-4:30 p.m., Monday, PAUL G45 - Refik Soyer, The George Washington University
→ Talk title: AI and Deep Learning, abstract
9/25, 4:30-5:30 p.m., Monday, PAUL G45 - Nick Polson, University of Chicago
→ Talk title: Percent Change Estimation in A/B Testing, abstract
10/06, 4-5 p.m., Friday, PAUL G45 - Jacopo Soriano, Google
→ Talk title: Multivariate Time Series Forecasting: Scaling via Dynamic Graphical Models, abstract
10/13, 4-5 p.m., Friday, PAUL G45 - Mike West, Duke University
→ Talk title: Topic Modelling for Medical Prescription Fraud and Abuse Detection, abstract
4/20, 12-1 p.m., Friday, PAUL 125 - Babak Zafari, Babson College
→ Talk title: Deep Learning: A Bayesian Perspective, abstract
4/27, 12-1 p.m., Friday, Kingsbury N343 - Vadim Sokolov, George Mason University