A special feature of Probability and Statistics Day at UMBC 2018 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 13, 2018. // 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
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
The Department of Mathematics and Statistics at UMBC will hold the 12th Annual Probability and Statistics Day at UMBC during April 20–21, 2018. 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).
Sudipto Banerjee
Department of Biostatistics, University of California Los Angeles
Hierarchical Bayesian Modeling and Analysis for Spatial BIG Data
Jeff Wu
Georgia Institute of Technology
Cmenet: A new method for bi-level variable selection of candidate main effects
Zhezhen Jin
Columbia University
Art of statistics in biomedical studies along with issues and challenges
Shyamal D. Peddada
University of Pittsburgh
Statistical inference under constraints with applications
Andriette Bekker
University of Pretoria, South Africa
Statistical distribution theory: Impact and reach
Dibyojyoti Bhattacharjee
Assam University, India
Sports analytics
Bimal Sinha
University Of Maryland Baltimore County
Professor J.K. Ghosh, some personal reminiscences
Surya Tokdar
Duke University
Semi-parametric density estimation with logistic Gaussian processes
Ryan Martin
North Carolina State University
Fast nonparametric estimation of a smooth mixing density
Ronald Wasserstein
Executive Director, American Statistical Association
Doctor, it hurts when I p
