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Bayesian inferences in high energy physics often use uniform prior distributions for parameters
about which little or no information is available before data are collected. The resulting posterior
d...
Alternative parametrizations and reference priors for decomposable discrete graphical models
Clique Conjugate family Contingency table Cut Loglinearmodel Multinomial model Natural exponential family
2010/4/30
For a given discrete decomposable graphical model, we identify several alternative
parametrizations, and construct the corresponding reference priors for
suitable groupings of the parameters. Specif...