A special feature of Probability and Statistics Day at UMBC 2015 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 3, 2015. // 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
The Department of Mathematics and Statistics at UMBC will hold the 9th Annual Probability and Statistics Day at UMBC during April 17–18, 2015. 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).
James Albert
Bowling Green State University
Simulation-Based Bayesian Computation with R
Larry Brown
University of Pennsylvania
Linear Regression Analysis in Non-linear Populations
Peter McCullagh
University of Chicago
Survival Models and Health Sequences
Ruth Williams
University of California at San Diego
Resource Sharing in Stochastic Networks
Thomas Louis
Johns Hopkins University & US Census Bureau
Research at Census, Including Links to Biostatistics/Informatics
Papa Ngom
Université Cheikh Anta Diop, Dakar-Sénégal
Minimum Penalized Hellinger Distance for Model Selection in Small Samples
Guido Knapp
University of Dortmund, Germany
Meta-analysis of a Small Number of Trials
Carlos Coelho
New University of Lisbon, Portugal
Near-Exact and Asymptotic Distributions for Likelihood Ratio Statistics Used in Tests Mean Vectors with Patterned Covariance Matrices
Jeongcheol Ha
Keimyung University, South Korea
A Nonparametric Unit Root Test in The Presence of Correlated Errors
