Estimating Expected Information Gains for Experimental Designs with Application to the Random Fatigue-Limit Model

Journal of Computational and Graphical Statistics

Volumn 12, Issue 3, 2003, Pages 585-603

  Ryan, Kenneth J ^a  

^a UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

Author keywords

Bayesian optimal design; Laplacian approximation; Markov chain monte carlo (MCMC)

Indexed keywords

EID: 0141941673     PISSN: 10618600     EISSN: None     Source Type: Journal    
DOI: 10.1198/1061860032012     Document Type: Review

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