In the linear regression model when the design matrix X is a function of a set of unknowns ρ, a marginal likelihood is derived for making inferences about ρ. Several special cases are considered and a ...
In certain multivariate problems the full probability density has an awkward normalizing constant, but the conditional and/or marginal distributions may be much more tractable. In this paper we ...
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