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A Sufficient Statistics Construction of Bayesian Nonparametric Exponential Family Conjugate Models
Second, we bridge the divide between the discrete and continuous likelihoods by illustrating a canonical construction for stochastic processes whose Levy measure densities are from positive exponential families, and then demonstrate that these processes in fact form the prior, likelihood, and posterior in a conjugate family.
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