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Bayesian Model Specification: Some problems related to model choice and calibration
In the development of Bayesian model specification for inference and prediction we focus on the conditional distributions p([theta],[beta]) and p(D[theta],[beta]), with data D and background assumptions [beta], and ...
Quantifying the Price of Uncertainty in Bayesian Models
During the exploratory phase of a typical statistical analysis it is natural to look at the data in order to narrow down the scope of the subsequent steps, mainly by selecting a set of families of candidate models ...