gauss程序：Bayesian Inference from Weighted Likelihood Bootstrap

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Bayesian Inference from Weighted Likelihood Bootstrap
Uses the weighted maximum likelihood feature together with an SIR, a Sample-Importance-Resample method, to generate a simulation of the Bayesian posterior distribution of the parameters. Author: Ron SchoenbergDate: 199504..Comment: requires the GAUSS Maximum Likelihood (MAXLIK) application module

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关键词：Likelihood Bootstrap Inference Bayesian Bootstra Bayesian GAUSS Inference Likelihood Bootstrap

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