From 43a8dc1ecdeabf2dbd97ed7061e3746bf0781e6a Mon Sep 17 00:00:00 2001 From: rnburn Date: Sun, 19 May 2024 11:58:50 -0700 Subject: [PATCH] add ref --- doc/objective-bayesian-inference.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/doc/objective-bayesian-inference.md b/doc/objective-bayesian-inference.md index 36ad573..1a60d9a 100644 --- a/doc/objective-bayesian-inference.md +++ b/doc/objective-bayesian-inference.md @@ -11,6 +11,8 @@ metrics such as frequentist matching coverage provide a way to quantify what it and how to build objective priors. Finally, it revists a few classical problems studied by Bayes and Laplace to show how they might be solved with a more modern approach to objective Bayesian inference. +For more complete coverage of the topic, I highly recommend the book [Objective Bayesian Inference](https://www.amazon.com/Objective-Bayesian-Inference-James-Berger/dp/9811284903) by James Berger, Jose Bernardo, and Dongchu Sun. + 1. [History](#history) 2. [Priors and Frequentist Matching](#priors-and-frequentist-matching) * [Example 1: A Normal Distribution with Unknown Mean](#example-1-a-normal-distribution-with-unknown-mean)