The aim is to present different methods for estimating frequentist and Bayesian statistics.
Different estimation methods: method of moments, maximum likelihood, Bayesian inference, properties of estimators, associated algorithms (Newton-Raphson, EM, MCMC, etc.), confidence intervals, hypothesis testing.
A substantial part of the activities is dedicated to environmentally sustainable development and social responsibility.