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Bayesian analysis of truncated skew Laplace distribution
International Journal of Statistics and Applied Mathematics · 2018 · Vol. 3(2) · pp. 185–193
Abstract
This paper describes the Bayesian inference and prediction of the Truncated Skew Laplace Distribution. The aim of this paper is to obtain the Bayesian inference of the unknown parameters under different loss functions. The Bayes estimates can be obtained and it has been used to compute the Bayes estimates and also to construct symmetric loss function. We consider the posterior predictive density of the future observations and also asymmetric loss function
Statistical Distribution Estimation and ApplicationsProbability and Risk ModelsStatistical Methods and Bayesian InferenceBayes' theoremBayesian probabilitySkewMathematicsBayesian inferencePrior probabilityBayesian linear regressionLaplace transformLaplace's methodBayes factor
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