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Bayesian optimization analysis with ML-II ε-contaminated prior
Authors:Pankaj Sinha  Ashok K Bansal
Institution:  a Faculty of Management Studies, University of Delhi, Delhi, India b Department of Statistics, University of Delhi, Delhi, India
Abstract:In 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.
Keywords:ε-contaminated prior  type II maximum likelihood technique  optimization analysis  decisive prediction
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