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I'd recommend Jaynes's magnum opus for Bayesian philosophy, keeping in mind that Jaynes isn't infallible in spite of the fact that he writes as if he is.
For practical Bayesian statistics, a good undergraduate intro course is in Bayesian Statistics: An Introduction. Material for upper level undergrad to low level grad can be found in Bayesian Data Analysis, 2nd ed.
Note that I haven't read Howson and Urbach, so I don't know what overlap there might be.
If you know some calculus, I recommend: Box and Tiao: Bayesian Inference in Statistical Analysis.
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