Robust Bayesian Regression with Synthetic Posterior Distributions
نویسندگان
چکیده
منابع مشابه
Quantitative Comparisons between Finitary Posterior Distributions and Bayesian Posterior Distributions
Abstract. The main object of Bayesian statistical inference is the determination of posterior distributions. Sometimes these laws are given for quantities devoid of empirical value. This serious drawback vanishes when one confines oneself to considering a finite horizon framework. However, assuming infinite exchangeability gives rise to fairly tractable a posteriori quantities, which is very at...
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ژورنال
عنوان ژورنال: Entropy
سال: 2020
ISSN: 1099-4300
DOI: 10.3390/e22060661