# 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.

## BioStat 101 - An Introduction to Biostatistics

This is a series of lectures and seminars designed for B.Sc. students of biology and should serve as an introduction to the basics of biostatistics using R. I taught these topics at the University of Leipzig but invite everyone who stumbles across this page to make use of what I'm presenting here as all of my material has been designed with the students interest in mind and should thus be self-sufficient.

## Statistical Rethinking

Summaries and solutions to exercises contained in the Statistical Rethinking material by Richard McElreath.
Preparing The Work First of all, most .R scripts will follow the same kind of structure: Head The Head is used as an information statement at the top of your code document that informs the user of the contents, author, and (sometimes) date of the last edit on said document.

## (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.