Bayesian Experimental Design
Bayesian Experimental Design is a statistical framework for planning experiments in which the choice of design is guided by Bayesian principles to optimize the expected utility of the information gained, distinguishing it from frequentist experimental designs by its incorporation of prior beliefs and probabilistic inference.
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Bayesian Design Of Experiments
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Default Bayes factors for ANOVA designs
Jeffrey N. Rouder, Richard D. Morey, Paul L. Speckman et al. · Journal of Mathematical Psychology · 2012 · 1.9K citations · Full text
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The University of Texas MD Anderson Cancer Center, United States
13 publications · 1.1K citations
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The University of Texas MD Anderson Cancer Center
Houston, United States
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University of Amsterdam
Amsterdam, The Netherlands
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University of Minnesota
Minneapolis, United States
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40 publications
3.1K citations
University of Antwerp
Antwerp, Belgium
17 h-index
29 publications
1.6K citations
KU Leuven
Leuven, Belgium
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36 publications
1.6K citations
University of Michigan
Ann Arbor, United States
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25 publications
3.3K citations
University of California, Los Angeles
Los Angeles, United States
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Duke University
Durham, United States
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