2021
Statistics Colloquium: Richard Gill
4:00–5:00 pm Via Zoom
RICHARD GILL, Mathematical Institute, Leiden University
“Statistical Issues in Serial Killer Nurse Cases”
Statistics Colloquium: Markus Reiß
4:00–5:00 pm Via Zoom
Joint Seminar with the Stevanovich Center for Financial Mathematics
MARKUS REIß, Institut für Mathematik, Humboldt-Universität zu Berlin
“Testing the Rank of Time-varying Covariance Matrices”
Student Seminar: Tianrui Hou
1:30–2:00 pm Via Zoom
Master’s Thesis Presentation
TIANRUI HOU, Department of Statistics, The University of Chicago
“Macroeconomic Nowcasting via Bootstrap Particle Filtering”
Student Seminar: (Percy) Shengjun Zhai
6:00–6:30 pm Via Zoom
Master’s Thesis Presentation
(PERCY) SHENGJUN ZHAI, Department of Statistics, The University of Chicago
“Simultaneous Inference of Covariances for Long Memory High-dimensional Time Series”
Student Seminar: Ziqing Xu
1:30–2:00 pm Via Zoom
Master’s Thesis Presentation
ZIQING XU, Department of Statistics, The University of Chicago
“Neural Networks for Partial Differential Equations”
Student Seminar: (George) Shuhong Liu
10:45–11:15 am Via Zoom
Master’s Thesis Presentation
(GEORGE) SHUHONG LIU, Department of Statistics, The University of Chicago
“An Application of Isotonic Regression in Distribution-Free Record Series Analysis”
Student Seminar: Brandon Rhodes
10:00–10:30 am Via Zoom
Master’s Thesis Presentation
BRANDON RHODES, Department of Statistics, The University of Chicago
“Methods and Applications for Shot Charts from the National Basketball Association (NBA)”
Student Seminar: Yi Hong Gordon Cheo
9:00–9:30 am Via Zoom
Master’s Thesis Presentation
YI HONG GORDON CHEO, Department of Statistics, The University of Chicago
“Exploring Joint and Layerwise Training of Hybrid Autoencoder Architectures”
Student Seminar: (Alex) Jiaai Pan
8:00–8:30 am Via Zoom
Master’s Thesis Presentation
(ALEX) JIAAI PAN, Department of Statistics, The University of Chicago
“Unsupervised Layerwise Learning of CNN”
Student Seminar: Michael Bian
4:00–4:30 pm Via Zoom
Master’s Thesis Presentation
MICHAEL BIAN, Department of Statistics, The University of Chicago
“Training-Conditional Coverage for Distribution-Free Predictive Inference”