Finding Near-Optimal Bayesian Experimental Designs via Genetic Algorithms

DOI10.1198/000313001317098121zbMath1182.62156OpenAlexW2069339739WikidataQ58143345 ScholiaQ58143345MaRDI QIDQ5189889

Harry F. Martz, Alyson G. Wilson, Michael S. Hamada, C. Shane Reese

Publication date: 11 March 2010

Published in: The American Statistician (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1198/000313001317098121

zbMATH Keywords

logistic regressionShannon informationlinear and nonlinear regressionexpected information gainmultifactor designs

Mathematics Subject Classification ID

Optimal statistical designs (62K05) Bayesian inference (62F15) Bayesian problems; characterization of Bayes procedures (62C10) Generalized linear models (logistic models) (62J12) Approximation methods and heuristics in mathematical programming (90C59) Statistical aspects of information-theoretic topics (62B10)

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Uses Software

• tsbridge

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