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Asymptotic expansions of posterior expectations,distributions and densities for stochastic processes
Authors:Martin Crowder
Affiliation:(1) Department of Mathematics, University of Surrey, GU2 5XH Guildford, Surrey, U.K.
Abstract:Asymptotic expansions are derived for Bayesian posterior expectations, distribution functions and density functions. The observations constitute a general stochastic process in discrete or continuous time.
Keywords:Asymptotic expansions  Bayesian approach  inference for stochastic processes  asymptotic posterior normality
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