Past Events

2020

Statistics Colloquium: Peter Grunwald

4:30–5:30 pm Jones 303

PETER GRÜNWALD, Machine Learning, Centrum Wiskunde & Informatica; Mathematical Institute, Leiden University
“Safe Testing”

Feb 10

Student Seminar: Lin Gui

2:00–3:00 pm Jones 111

Master’s Thesis Presentation
LIN GUI, Department of Statistics, The University of Chicago
“Replicating Signals Detection with an Adaptive Filtering Procedure and its One Extension”

Feb 10

Student Seminar: Wenjing Xu

9:30–10:30 am Jones 304

Master’s Thesis Presentation
WENJING XU, Department of Statistics, The University of Chicago
“Modelling Time-varying Behavior of Maxima with Dynamic Fréchet Model”

Feb 10

Student Seminar: Xiaoyu Sun

9:00–10:00 am Jones 304

Master’s Thesis Presentation
XIAOYU SUN, Department of Statistics, The University of Chicago
“Portfolio Value-at-Risk Estimation: a Multivariate Copula-based Volatility Model”

Feb 10

Student Seminar: Yi Jin

8:30–9:30 am Jones 304

Master’s Thesis Presentation
YI JIN, Department of Statistics, The University of Chicago
“Estimating Value at Risk with Kernel Density Estimation”

Feb 10

Student Seminar: Nicholas Rittler

11:00 am–12:00 pm Jones 304

Master’s Thesis Presentation
NICHOLAS RITTLER, Department of Statistics, The University of Chicago
“On the Relation of Bayesian Inference and PAC-Bayes Inspired Learning Procedures”

Feb 7

Statistics Colloquium: Arun Kumar Kuchibhotla

4:00–5:00 pm Jones 303

ARUN KUMAR KUCHIBHOTLA, Statistics Department, The Wharton School, The University of Pennsylvania
“Valid Post-selection Inference: Why and How”

Feb 6

Statistics Colloquium: Franca Hoffmann

4:00–5:00 pm Jones 303

Joint Seminar with CAM
FRANCA HOFFMAN, Department of Computing and Mathematical Sciences, California Institute of Technology
“Gradient Flows: From PDE to Data Analysis”

Feb 3

Statistics Colloquium: Yi Sun

4:00–5:00 pm Jones 303

YI SUN, Department of Mathematics, Columbia University
“TBA”

Jan 31

Student Seminar: Shentao Yang

3:00–4:00 pm Jones 111

Master’s Thesis Presentation
SHENTAO YANG, Department of Statistics, The University of Chicago
“Beating the Market with Machine-Learning”

Jan 31