Bayesian inference applied to measurements

(Henri Poincaré)

- Measurement errors and measurement uncertainty
- Statistical inference
- Bayesian inference
- Bayesian inference and maximum likelihood
- The dog, the hunter and the biased Bayesian estimators

- Choice of the
initial probability density function

- Normally distributed observables
- Final distribution, prevision and credibility intervals of the true value
- Combination of several measurements
- Measurements close to the edge of the physical region

- Counting experiments

- Uncertainty due to systematic errors of unknown size

Giulio D'Agostini 2003-05-15