The 2011 Outstanding Statistical Application Award of American Statistical Association has been presented to Miroslav Kárný and his co-authors A. Raftery (University of Washington) and P. Ettler (Compureg s.r.o.). This award recognises "extending Bayesian methods for model uncertainty to temporally evolving systems and showing how these ideas can be successfully applied to solving a challenging problem in a continuous manufacturing system."
Miroslav Kárný and his co-authors A.Raftery (University of Washington) and P.Ettler (Compureg s.r.o.) were selected to receive the Frank Wilcoxon Prize for their paper: “Online prediction under model uncertainty via dynamic model averaging: application to a cold rolling mill” that appeared in the February 2010 issue of Technometrics. The Wilcoxon Prize is given to the best practical application paper appearing in the previous year's Technometrics.
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