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ASYMPTOTIC POSTERIOR NORMALITY FOR STOCHASTIC PROCESSES: A NON-ERGODIC EXAMPLE
Authors:OA Adekola
Institution:Dept. of Operations Research, Federal University of Technology, PMB 2076, Yola, Nigeria.
Abstract:Sweeting & Adekola (1987) presented a fairly general set of conditions, covering a wide class of problems, that establish asymptotic posterior normality for stochastic processes. In this paper, this theory is illustrated via a non-ergodic example, namely, the class of non-homogeneous birth processes.
Keywords:Asymptotic normality  Bayesian inference  stochastic processes  non-homogeneous birth processes
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