Exercise solution o Mathematical Statistic course

These are R implementations using sufficient statistics methods for clustering structure in Bayesian inference

Expectation Maximization (EM) algorithm for estimating maximum likelihood (ML) parameters of partially observed data on a three-node Bayesian Network Probabilistic Graphical Model.

These are R implementations using sufficient statistics methods adjusting clustering structure in frequentist way.

Computes contingency tables for relational databases, i.e. counts across tables