- slightly reviewed version of the 1995 DESY/Rome report -

- Subjective probability and Bayes' theorem
- Orig inal abstract of the ``primer''
- Introduction to the ``primer''
- Probability
- Conditional probability and Bayes' theorem
- Hypothesis test (discrete case)
- Choice of the initial probabilities (discrete case)

- Distributions (a concise reminder)

- Bayesian inference applied to measurements
- Measurement errors and measurement uncertainty
- Statistical inference
- Choice of the initial probability density function
- Normally distributed observables
- Counting experiments
- Uncertainty due to systematic errors of unknown size

- Bypassing the Bayes' theorem for routine
applications
- Approximate methods
- Indirect measurements
- Covariance matrix of experimental results

- Bayesian unfolding

Giulio D'Agostini 2003-05-15