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.

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.

This is a brief summary of basal knowledge for 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.

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

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

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

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.

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

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.

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