Bayesian Statistics

Bayesian Network Inference

Answers and solutions to the exercises belonging to chapter 4 in [Bayesian Networks in R with Applications in Systems Biology](https://link.springer.com/book/10.1007/978-1-4614-6446-4) by by Radhakrishnan Nagarajan, Marco Scutari \& Sophie Lèbre and Part 4 in [Bayesian Networks with Examples in R](https://www.bnlearn.com/book-crc/) by M. Scutari and J.-B. Denis.

Dynamic Bayesian Networks

Answers and solutions to the exercises belonging to chapter 3 in [Bayesian Networks in R with Applications in Systems Biology](https://link.springer.com/book/10.1007/978-1-4614-6446-4) by by Radhakrishnan Nagarajan, Marco Scutari \& Sophie Lèbre.

Graph Theory & Bayes

This is a brief summary of basal knowledge for Bayesian Networks.

Multinomial Bayesian Networks

Answers and solutions to the exercises belonging to Part 1 in [Bayesian Networks with Examples in R](https://www.bnlearn.com/book-crc/) by M. Scutari and J.-B. Denis.

Bayesian Networks

A series of seminars, presentations and solutions to exercise material aimed at providing an introduction to Bayesian Network analysis tools.

Statistical Rethinking

Summaries and solutions to exercises contained in the Statistical Rethinking material by Richard McElreath.

(Bayesian) Networks & R

Here, we lay the foundation for registering networks and their structure in `R` and show how to visualise them.

Gaussian Bayesian Networks

Answers and solutions to the exercises belonging to Part 2 in [Bayesian Networks with Examples in R](https://www.bnlearn.com/book-crc/) by M. Scutari and J.-B. Denis.

Chapter 01 & 02

Answers and solutions to the exercises belonging to chapter 2 in [Satistical Rethinking 2](https://xcelab.net/rm/statistical-rethinking/) by Richard McElreath.

Hybrid Bayesian Networks

Answers and solutions to the exercises belonging to Part 3 in [Bayesian Networks with Examples in R](https://www.bnlearn.com/book-crc/) by M. Scutari and J.-B. Denis.