This repository contains the weekly exercises for the Advanced statistics for Physics Analysis course, by Prof. Garfagnini, AY 2021/22.
- rlab01
- R & dataset exploration
- rlab02
- basics of probability distributions
- rlab03
- test of Markov and Čebyšëv's inequalities
- six boxes model inference (full manual & simulated demo)
- rlab04
- random number generator (middle square algorithm)
- Bernoulli bayesian inference
- rlab05
- Poisson process bayesian inference
- lighthouse problem (2 unknown parameters)
- signal over background inference
- rlab06
- frequentist vs bayesian hypotesis test
- Markov Chain Monte Carlo examples with JAGS