The Foundations of Bayesian Inference
Simon D. Jackman · Wiley series in probability and statistics · 2009
This chapter contains sections titled: What is probability? Subjective probability in Bayesian statistics Bayes theorem, discrete case Bayes theorem, continuous parameter Parameters as random variables, beliefs as distributions Communicating the results of a Bayesian analysis Asymptotic properties of posterior distributions Bayesian hypothesis testing From subjective beliefs to parameters and models Historical note