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Found 3 papers, 1 papers with code
Quantification of observed prior and likelihood information in parametric Bayesian modeling
Two data-dependent information metrics are developed to quantify the information of the prior and likelihood functions within a parametric Bayesian model, one of which is closely related to the reference priors from Berger, Bernardo, and Sun, and information measure introduced by Lindley.
Admissibility of a posterior predictive decision rule
Recent decades have seen an interest in prediction problems for which Bayesian methodology has been used ubiquitously.
Classifying X-ray Binaries: A Probabilistic Approach
We use this model to estimate the probabilities that an X-ray binary system contains a black hole, non-pulsing neutron star, or pulsing neutron star.
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