Could anyone recommend an introductory or intermediate text on probability and statistics that takes a Bayesian approach from the ground up? All of the big ones I've looked at seem to take an orthodox frequentist approach, aside from being intolerably boring.
(All of the below is IIRC.)
For a really basic introduction, there's Elementary Bayesian Statistics. It's not worth the listed price (it has little value as a reference text), but if you can find it in a university library, it may be what you need. It describes only the de Finetti coherence justification; on the practical side, the problems all have algebraic solutions (it's all conjugate priors, for those familiar with that jargon) so there's nothing on numerical or Monte Carlo computations.
Data Analysis: A Bayesian Approach is a slender and straighforward...
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