Speaker
Allen Caldwell
(MPI Munich)
Description
1) What is probability, leading to derivation of Bayes’ theorem
2) Comparison of Bayes & Frequentist for the Poisson problem with and w/o
background, comparison of Bayes with Neyman, Feldman-Cousins
3) Detailed analysis of the on/off problem
4) The role of priors, ways to define them, deciding when they are important
