Probability & Statistics Day 2012 Group Photo
PROBABILITY & STATISTICS DAY
Funded By: National Security Agency | Hosted By: Center for Interdisciplinary Research and Consulting
Group Photo from the 7th Annual Probability & Statistics Day at UMBC 2013
8th Annual April 18-19, 2014

Register A special feature of Probability and Statistics Day at UMBC 2014 is that the conference, including the workshop, is open to all statistics graduate students from UMBC and local universites free of charge; however, REGISTRATION IS REQUIRED! The deadline to register is Friday, April 11, 2014.   // REGISTER NOW

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

Bimal Sinha
Conference Chair
443.538.3012

Kofi Adragni
  410.455.2406
Yvonne Huang
  410.455.2422
Yaakov Malinovsky
  410.455.2968
Thomas Mathew
  410.455.2418
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 8th Annual Probability and Statistics Day at UMBC during April 18–19, 2014. The event is funded by the National Security Agency, and 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
18
FRI

Jorge Morel

Procter & Gamble

Nagaraj Neerchal

UMBC

Analysis of Overdispersed Data using SAS

Keynote Addresses
APR
19
SAT

Montserrat Fuentes

North Carolina State University

Nonparametric spatial-temporal modelling of the association between ambient air pollution and adverse pregnancy outcomes

APR
19
SAT

Xuming He

University of Michigan

Analysis of Quantiles

APR
19
SAT

Regina Liu

Rutgers University

Combining nonparametric inferences using data depth, bootstrap and confidence distribution

APR
19
SAT

Soumendra Lahiri

North Carolina State University

Empirical likelihood in high dimensions