An excellent introduction to Bayesian theory and methods, while taking an impartial view of their merits relative to the alternative "classical" or "frequentist" approach. A very readable presentation of the basic characteristics of statistical inference from a Bayesian and from a frequentist perspective Offers a resolution of one of the most intense scientific debates in the past 250 years
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So-called "threshold problem": identify which prior could beat the frequentist's estimator
评分So-called "threshold problem": identify which prior could beat the frequentist's estimator
评分So-called "threshold problem": identify which prior could beat the frequentist's estimator
评分So-called "threshold problem": identify which prior could beat the frequentist's estimator
评分So-called "threshold problem": identify which prior could beat the frequentist's estimator
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