Probability & Statistics Day 2018 Group Photo
PROBABILITY & STATISTICS DAY 2019
Funded By: National Security Agency | Hosted By: Center for Interdisciplinary Research and Consulting
Group Photo from the 12th Annual Probability & Statistics Day at UMBC 2018
13th Annual April 26-27,2019

Register A special feature of Probability and Statistics Day at UMBC 2019 is that the conference, including the workshop, is open to all statistics graduate students from UMBC and local universities free of charge; however, REGISTRATION IS REQUIRED! The deadline to register is Friday, April 19, 2019.   // REGISTER NOW

For more information, contact any member of the organizing committee:

Thomas Mathew
Conference Chair
410.455.2418

Bimal Sinha
   443.538.3012
Yvonne Huang
  410.455.2422
Seungchul Baek
   410.455.2406
Yehenew Kifle
   443.231.8368
Yaakov Malinovsky
  410.455.2968
Nagaraj Neerchal
  410.455.2437
DoHwan Park
  410.455.2408
Junyong Park
  410.455.2407
Anindya Roy
  410.455.2435
Elizabeth Stanwyck
  410.455.5731

Sponsor

The Department of Mathematics and Statistics at UMBC will hold the 13th Annual Probability and Statistics Day at UMBC during April 26–27, 2019. The event will consist of a half-day workshop on Friday afternoon and a full day conference on Saturday. Probability and Statistics Day at UMBC is open to statisticians from all local universities, government agencies, and private industries (registration required). The event is free for all statistics graduate students from UMBC and local universities (registration required).

Half–Day Workshop
APR
26
FRI

Shuangge Ma

Yale School of Public Health

Big Data, Networks and Regularized Estimation

Keynote Addresses
APR
27
SAT

Karen Kafadar

University of Virginia

President, American Statistical Association

The Critical Role of Statistics in Evaluating Forensic Evidence

APR
27
SAT

Hongyu Zhao

Yale School of Public Health

Statistical Methods for Genetic Risk Prediction

APR
27
SAT

Sourav Chatterjee

Stanford University

Matrix Estimation by Universal Singular Value Thresholding