2020
Student Seminar: Yuwei Luo
6:00–7:00 pm Jones 226
Master’s Thesis Presentation
YUWEI LUO, Department of Statistics, The University of Chicago
“TBA”
Student Seminar: Fuheng Cui
5:30–6:30 pm Jones 226
Master’s Thesis Presentation
FUHENG CUI, Department of Statistics, The University of Chicago
“How far is a gradient-based optimization algorithm from global convergence?”
Student Seminar: Luyi Zhou
5:00–6:00 pm Jones 226
Master’s Thesis Presentation
LUYI ZHOU, Department of Statistics, The University of Chicago
“Chebyshev and Jacobi Acceleration”
Statistics Colloquium: Tyler H. McCormick
4:00–5:00 pm Jones 303
TYLER H. MCCORMICK, Departments of Statistics and Sociology, University of Washington
“Using Aggregated Relational Data to Feasibly Identify Network Structure Without Network Data”
Student Seminar: Margarita Orlova
2:30–3:30 pm Jones 304
Master’s Thesis Presentation
MARGARITA ORLOVA, Department of Statistics, The University of Chicago
“Beta-Poisson Modeling of Single-Cell RNA-Sequencing Data”
Student Seminar: Yuqing He
2:00–3:00 pm Jones 304
Master’s Thesis Presentation
YUQING HE, Department of Statistics, The University of Chicago
“Modeling Linkage Disequilibrium for Polygenic Phenotype Prediction”
Student Seminar: Weidi Pan
11:00 am–12:00 pm Jones 304
Master’s Thesis Presentation
WEIDI PAN, Department of Statistics, The University of Chicago
“Collaborative Filtering and Music Personalization”
Student Seminar: Kabir Sawhney
3:30–4:30 pm Jones 304
Master’s Thesis Presentation
KABIR SAWHNEY, Department of Statistics, The University of Chicago
“Reexamining Daily Pairs Trading: Do Pairs Trading Opportunities Still Exist in Today’s Stock Market?”
Student Seminar: Yijia Zhao
2:30–3:30 pm Jones 304
Master’s Thesis Presentation
YIJIA ZHAO, Department of Statistics, The University of Chicago
“An Extension of Equal Local Levels Method—For Test Statistics Other Than Z-Scores”
Student Seminar: Yuhan Li
2:00–3:00 pm Jones 304
Master’s Thesis Presentation
YUHAN LI, Department of Statistics, The University of Chicago
“Detecting Individuals with Abnormal Molecular Aging from DNA Methylation Data”