Bayesian Reasoning in Data Analysis: A Critical Introduction Book

Pt. 1	Critical review and outline of the Bayesian alternative	1
1	Uncertainty in physics and the usual methods of handling it	3
2	A probabilistic theory of measurement uncertainty	25
Pt. 2	A Bayesian primer	49
3	Subjective probability and Bayes' theorem	51
4	Probability distributions (a concise reminder)	89
5	Bayesian inference of continuous quantities	115
6	Gaussian likelihood	123
7	Counting experiments	141
8	Bypassing Bayes' theorem for routine applications	169
9	Bayesian unfolding	203
Pt. 3	Further comments, examples and applications	209
10	Miscellanea on general issues in probability and inference	211
11	Combination of experimental results: a closer look	247
12	Asymmetric uncertainties and nonlinear propagation	267
13	Which priors for frontier physics?	285
Pt. 4	Conclusion	305
14	Conclusions and bibliography	307
	Bibliography	313
	Index	325