# Bayes

## 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.