Probability & Statistics Day 2018 Group Photo
PROBABILITY & STATISTICS DAY 2023
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
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Register A special feature of Probability and Statistics Day at UMBC 2023 is that the conference, including the workshop, is open to all statisticians from all academic institutions, government agencies, and private industries. However, registration is required.

The event is free for all statistics graduate students from UMBC and other academic institutions (Registration is required)! The deadline to register is Friday, April 7, 2023.   

// 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
Thu Nguyen
  410.455.2407
DoHwan Park
  410.455.2408
Anindya Roy
  410.455.2435
Elizabeth Stanwyck
  410.455.5731

Sponsor

The Department of Mathematics and Statistics at UMBC will hold the 14th Annual Probability and Statistics Day at UMBC during April 21-22, 2023. 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 academic institutions, government agencies, and private industries. The event is free for all statistics graduate students from UMBC and other academic institutions (registration required).

Half–Day Workshop
APR
21
FRI

Haitao Chu

Division of Biostatistics, University of Minnesota

Statistical Methods and Software for Network Meta-analysis

Keynote Addresses
APR
22
SAT

Lynne Billard

Department of Statistics, University of Georgia

Distributions are the numbers of the future: Symbolic data analysis

APR
22
SAT

Scott Evans

George Washington University

Our most important discovery: the Question

APR
22
SAT

Rahul Mazumder

Masschusetts Institute of Technology

New directions in solving structured nonconvex problems in statistical learning

APR
22
SAT

Jianqing Fan

Princeton University

FAST-NN for big data modeling