A special feature of Probability and Statistics Day at UMBC 2013 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 12, 2013. // 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 7th Annual Probability and Statistics Day at UMBC during April 26–27, 2013. 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 2013 is open to statisticians from all local universities, government agencies, and private industries.
Jerry Reiter
Duke University
Multiple Imputation – Theory and Applications
Nathaniel Schenker
National Center for Health Statistics
Multiple Uses of (Mostly Multiple) Imputation at the National Center for Health Statistics
Dennis Cook
University of Minnesota
Envelope Models and Methods
Karen Kafadar
Indiana University
Statistical Issues in Evaluating Randomized Cancer Screening Trials: To Screen or Not to Screen?
Carlos A. Coelho
New University of Lisbon, Portugal
The Likelihood Ratio Test for Block-Circularity of the Covariance Matrix – Developing Near-Exact Distributions for the Test Statistic
Takeaki Kariya
Meiji University, Japan
Measuring Credit Risk of Individual Corporate Bonds and Deriving Term Structures of Default Probabilities
Guido Knapp
Clausthal University of Technology, Germany
Advanced Meta-Analysis Methods
Bikas Sinha
Indian Statistical Institute [retired], India
Statistical Assessment of Agreement: An Application of Cohen’s Kappa in the Screening of Diabetic Retinopathy
