The course avoids philosophical nitpicking, and instead emphasizes that properly structured Bayes and EB procedures typically have good frequentist and Bayesian performance, both in theory and in practice. His dissertation concerned methods for correcting standard empirical Bayes confidence intervals to have the appropriate nominal coverage probability. Since 1991, he has been a member of the Biostatistics faculty at the University of Minnesota, where he has continued his research into methods and computing for Bayesian data analysis. Most recently, he was named as the 2000 winner of the APHA's Mortimer Spiegelman Award. Professor Carlin is a frequent speaker at national and international conferences on Bayesian methods, as well as invited short courses, departmental seminars, and colloquia.
Proprietary interest is given to the presenter .
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