Spring 2019 Seminars

Date Presenter Title
Wednesday, January 16
*Time: 4:30-5:30 pm
*Location: F60 Huntsman Hall
Subhabrata Sen – Microsoft Research New England and MIT
Wednesday, January 23
*Time: 4:30-5:30 pm
*Location: F60 Huntsman Hall
Pragya Sur – Stanford University A Modern Maximum-Likelihood Approach for High-Dimensional Logistic Regression

Friday, January 25
*Time: 1:30 – 2:30 pm
*Location: F60 Huntsman Hall
Simon Mak – Georgia Institute of Technology Support Points – A New Way to Reduce Big and High-Dimensional Data

Monday, January 28
*Time: 4:30-5:30 pm
*Location: F60 Huntsman Hall
Shihao Yang – Harvard University Big Data, Google, and Infectious Disease Prediction: A Statistical Perspective

Wednesday, January 30
*Time: 4:30-5:30 pm
*Location: F60 Huntsman Hall
Eugene Katsevich – Stanford University Multiple Testing for Modern Data: Structure, Curation, and Replicability

Wednesday, February 6
*Time: 4:30-5:30 pm
*Location: F60 Huntsman Hall
Zhengyuan Zhou – Stanford University Learning to Make Decisions in Statistical and Strategic Environments

Wednesday, February 13
*Time: 4:30-5:30 pm
*Location: F60 Huntsman Hall
Gal Mishne – Yale University Local Geometric Spectral Data Analysis

Monday, February 18
*Time: 4:30-5:30 pm
*Location: F60 Huntsman Hall
Feng Ruan – Stanford University Adapting Maximum Likelihood Theory to Modern Applications

Wednesday, February 20
*Time: 3:00-4:00 pm
*Location: 423 Huntsman Hall
James Johndrow – Stanford University Bayes Shrinkage at GWAS Scale

Friday, February 22
*Time: 11:00 am – Noon
*Location: F65 Huntsman Hall
Jeffrey Regier – University of California, Berkeley Statistical Inference for Cataloging the Visible Universe

Wednesday, March 13
*Time: 4:30-5:30 pm
*Location: F60 Huntsman Hall
Xin Tong – University of Southern California Neyman-Pearson Classification

Wednesday, March 20
*Time: 4:30-5:30 pm
*Location: F60 Huntsman Hall
Elizabeth Ogburn – Johns Hopkins University Social Network Dependence, the Replication Crisis, and (In)valid Inference
Wednesday, March 27
*Time: 4:30-5:30 pm
*Location: F60 Huntsman Hall
Adam Kapelner – Queens College Harmonizing Fully Optimal Designs with Classic Randomization in Fixed Trial Experiments

Wednesday, April 3
*Time: 4:30-5:30 pm
*Location: F60 Huntsman Hall
Jiaming Xu – Duke University Phase Transitions in High-dimensional Statistics

Wednesday, April 10
*Time: 4:30-5:30 pm
*Location: F60 Huntsman Hall
Giles Hooker – Cornell University Decision Trees and CLT’s: Inference and Machine Learning

Wednesday, April 17
*Time: 4:30-5:30 pm
*Location: F60 Huntsman Hall
Karl Rohe – University of Wisconsin–Madison A Critical Threshold in Snowball Sampling

Wednesday, April 24
*Time: 4:30-5:30 pm
*Location: F60 Huntsman Hall
Bhaswar Bhattacharya – University of Pennsylvania Detection Thresholds for Non-Parametric Tests Based on Geometric Graphs: The Curious Case of Dimension 8

Wednesday, May 1
*Time: 4:30-5:30 pm
*Location: F60 Huntsman Hall
David Siegmund – Stanford University Detection and Estimation of Local Signals

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