People : Secondary Faculty
Bertrand Clarke, Ph.D.
Bertrand Clarke, Ph.D.
Professor of Statistics
BClarke2@med.miami.edu
Department of Medicine Profile
TEACHING
My particular interest is in helping grad students and post-docs progress in their fields. For instance:
Michael Armstrong published “Joint Reliability Importance of Components” in IEEE Trans. Reliability Vol 44, 1995, p. 408-412 based on the term paper he wrote for my course Stat 531. He is now a faculty member at Carleton University, in the School of Business.
Ao Yuan and I published “Manifest Characterization and Testing for Two Latent Traits”, Ann. Stat Vol 29, p. 876-878 that emanated from his report in my Stat 519. Yuan is Senior Statistician at the Human Genome Project at Howard University – a de facto Associate Professor.
My second PhD student, Hubert Wong is an Associate Professor in the Department of Epidemiology, UBC.
X. Lin, one of my post docs, should be promoted to Associate Professor at University of Cincinnati in 2009.
Ernest Fokoue, another of my post-docs, is an Assistant Professor in Statistics at Rochester Institute of Technology.
Jen Hwa Chu, a former PhD student at Duke University in the DMML Program at SAMSI, did a summer of computing for me (for my book) as part of his graduate training. He’s a post-doc at the Channing Lab, Brigham and Women’s, Harvard Medical School.
My third PhD student is currently an instructor at Hong Kong University of Science and Technology.
Courses Taught:
Introductory Statistics, Introduction to Quality Control, Survey Sampling, Introduction to Non-Parametrics, Introduction to Probability Theory, Applied Linear Regression, Introduction to Theoretical Statistics, PhD Level Theoretical Statistics, Analysis of Variance/Design of Experiments, Graduate level Bayesian Statistics, Multivariate Theory, Consulting Practicum
Invited Presentations
Conferences:
IEEE Workshop on Information Theory, Ithaca, N.Y. “Information Theoretic Asymptotics of Bayesian Methods” July 1989.
Purdue Symposium, W. Lafayette, IN. “Posterior Normality Given the Mean, With Applications to Educational Testing” June 1992.
IEEE Workshop on Information Theory, Alexandria, VA. “Jeffreys Prior is Asymptotically Least Favorable” October 1994.
Second Triennial Calcutta University Symposium, Calcutta, India. “On the Information in the Prior and the Model” January 1995.
SSC Annual Meeting, Waterloo. Invited comment on Educational testing papers of Ramsey & Stout. 1996.
Danish Theoretical Statistics Society Conference, Odense University, Denmark. “Combining Model Selection Procedures for Online Predictions” May 1999.
Valencia Conference on Objective Bayes Procedures. Comment on work of T. Sweeting. June 1999.
Objective Bayes Conference, Granada, Spain. Comment on work of N. Reid, R. Mukerjee and D. Fraser. December 2002.
Information and Entropy Economics – Conference in Honor of Arnold Zellner, American University. “Information Optimality and Bayesian Models” September 2003.
Objective Bayes Methods 5, Branson, Missouri. Comment on Reference Prior work of Sun, Berger, Bernardo. June 2005.
Joint Statistical Meetings, Minneapolis, MN. “Adaptive Combined Average Predictors”. Invited section on Aggregation Methods in Non-parametrics, August 2005.
Interdisciplinary Mathematics & Statistical Techniques, Shanghai. “Why be Afraid of the Median Loss?” May 2007.
Objective Bayes 6, Rome, Italy. Comment on the work of T. Sweeting, June 2007.
Frontiers in High Dimensional Statistics, Cambridge University. “Model Spaces and Predictive Optimality” January 2008.
International Indian Statistical Association Conference, “A Review and Some New Ideas for Reference Priors when the Number of Parameters is Increasing” May 2008.
Banff International Research Station Conference on The New Statistics, “Towards a Coordinating Theory for Statistics” September 2008.
Invited IMS session “Posterior Normality and Prior Selection in High Dimensions”, JSM 2009.
Frontiers of Decision-making and Bayes Statsitics, in Honor of J. Berger. “Median Decision Theory and Predictive Analysis” March 2010.
2010 UIUC Statistics Symposium (25th Anniversary of the Department of Statistics) “Estimating a proportion in a mixed sample” March 2010.
Seminar on Bayesian Information and Econometrics and Statistics. “Reference Priors in New Settings” April 2010.
Ninth Valencia Conference, “Sparsity and Prediction” Invited comment on a paper by Polson and Scott, June 2010.
International Indian Statistical Society Conference “Median Cross-Validation” April 2011. Raleigh
Objective Bayes Conference, `Posterior Weighted Prediction’ June 2011. Shanghai.
JSM Aug. 2011, `Desiderata for a Predictive Theory of Statistics’ Miami.
Current Challenges in Statistical Learning (BIRS) Dec. 2011, “Cluster stability: Impossibility and possibility” Banff
WORK IN PROGRESS
Clarke, B. and Clarke, J. “Consistent Estimation of a Proportion from a Mixed Sample.” In revision for Stat. Prob. Letters.
Clarke, B., Clarke, J. and Yu, C.-W. Statistical problem classes and their links to information theory. Submitted to the Zellner Memorial Issue of Econ. Reviews.
Clarke, B. and Clarke, J. `How to Predict in Several Conventional Settings’. Second revision requested by Statistical Surveys.
Yu, C-W and Clarke, B. “Median Based Cross-Validation for Model Selection”. In revision for resubmission.
Clarke, B., Clarke, J. and Yu, C. W. “Information Theory and Problem Classes.” In revision for Econometric Reviews.
Yu, C.-W., Clarke, B. and Clarke, J. “Prediction in the M-complete problem class” Rough draft written.
Wang D., Clarke, B. “Prediction in the M-open problem class”
Koepke, H. and Clarke, B. “Bayes Sensitivity of Clustering Procedures.” Initial version outlined.
Clarke, J. and Clarke, B. “Estimating Proportions in Mixed Samples: Interaction Case.” Procedure designed, must be implemented/tested