Statistics in the Data Science Era:
A Symposium to Celebrate 50 Years of Statistics at the University of Michigan
The Department of Statistics will be celebrating its 50th Anniversary on September 20th and 21st in Ann Arbor, Michigan. There will be talks led by former professors and alumni, as well as panel discussions.
The symposium will take place on the 4th floor of Rackham Graduate School, located at 918 E. Washington Street, Ann Arbor, MI 48109.
If you are unable to attend but are interested in livestreaming the events, please follow the links on our Resources page.
Friday, September 20th
9:30-10:30 Coffee and Registration
10:30-10:50 Opening Remarks
Xuming He and Dean Anne Curzan
10:50-11:50 Keynote Speaker: Susan Murphy, Harvard University
Online Experimentation with Learning Algorithms in a Clinical Trial
11:50-12:00 Group Photo
12:00-1:30 Lunch and Poster Session
1:30-2:00 Invited Speaker: Sumanta Basu, Cornell University
Large Spectral Density Matrix Estimation by Thresholding
2:00-2:30 Invited Speaker: Anindya Bhadra, Purdue University
Horseshoe Regularization for Machine Learning in Complex and Deep Models
2:30-3:00 Coffee Break
3:00-4:00 Academic Panel Discussion
4:00-5:00 Keynote Speaker: Michael Jordan, University of California, Berkeley
Decisions and Contexts: On Gradient-Based Methods for Finding Game-Theoretic Equilibria
Saturday, September 21st
8:30-9:00 Coffee
9:00-9:30 Invited Speaker: Adam Rothman, University of Minnesota
Shrinking Characteristics of Precision Matrix Estimators
9:30-10:00 Invited Speaker: Bodhisattva Sen, Columbia University
Multivariate Rank-based Distribution-free Nonparametric Testing using Measure Transportation
10:00-10:30 Invited Speaker: Min Qian, Columbia University
Personalized Policy Learning using Longitudinal Mobile Health Data
10:30-11:00 Coffee Break
11:00-11:30 Invited Speaker: Ali Shojaie, University of Washington
Incorporating Auxiliary Information into Learning Directed Acyclic Graphs
11:30-12:00 Invited Speaker: Jing Ma, Texas A&M University
Graphical Models and Differential Networks for Microbiome Data
12:00-12:30 Invited Speaker: Eric Laber, NC State University
Sample Size Calculations for SMARTs
12:30-1:30 Lunch
1:30-2:30 Industry Panel Discussion
2:30-3:30 Keynote Speaker: Jeff Wu, Georgia Institute of Technology
Navier-Stokes, Spatial-Temporal Kriging and Combustion Stability: A Prominent Example of Physics-based Analytics
3:30-4:00 Concluding remarks
Contact
Department of Statistics Main Office
323 West Hall
1085 South University
Ann Arbor, MI 48109-1107
Call: 734.647.8192
Email: stat-um@umich.edu
U-M Stats in the News
The 50th Anniversary of the U-M Department of Statistics was recently featured on page 7 of the June/July 2019 issue of the IMS Bulletin. Click here to read more!