Bayesian methods for experimental data analysis - Archive ouverte HAL
Chapitre D'ouvrage Année : 2007

Bayesian methods for experimental data analysis

Bruno Lecoutre
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Résumé

This chapter introduces the conceptual basis of the objective Bayesian approach to experimental data analysis and reviews some of its methodological improvements. The presentation is essentially non-technical and, within this perspective, restricted to relatively simple situations of inference about proportions. Bayesian computations and softwares are also briefly reviewed and some further topics are introduced.
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Dates et versions

hal-00440394 , version 1 (10-12-2009)

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Bruno Lecoutre. Bayesian methods for experimental data analysis. C.R. Rao, J. Philip Miller & D.C. Rao. Handbook of Statistics, Vol. 27 Epidemiology and Medical Statistics, Elsevier B.V., pp.775-812, 2007, ⟨10.1016/S0169-7161(07)27027-0⟩. ⟨hal-00440394⟩
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