Bayesian analysis of software reliability models with reference prior
نویسندگان
چکیده
In this paper, we introduce a Bayesian analysis for non-homogeneous Poisson process in software reliability models. Posterior summaries of interest are obtained using Markov chain Monte Carlo methods. We compare the results obtained from using conjugate and reference priors. Model selection based on the prequential conditional predictive ordinates is developed.
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