Bayesian optimization analysis with ML-II ε-contaminated prior
AbstractIn this paper we derive the predictive density function of a future observation when prior distribution for unknown mean of a normal population is a Type-II maximum likelihood ε-contaminated prior. The derived predictive distribution is applied to the problem of optimization of a regression nature in the decisive prediction framework.
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Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Journal of Applied Statistics.
Volume (Year): 35 (2008)
Issue (Month): 2 ()
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- Sinha, Pankaj & Jayaraman, Prabha, 2009. "Bayes reliability measures of Lognormal and inverse Gaussian distributions under ML-II ε-contaminated class of prior distributions," MPRA Paper 16528, University Library of Munich, Germany.
- Sinha, Pankaj & Jayaraman, Prabha, 2009. "Robustness of Bayesian results for Inverse Gaussian distribution under ML-II epsilon-contaminated and Edgeworth Series class of prior distributions," MPRA Paper 15396, University Library of Munich, Germany.
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