Source code for the module "Advanced Statistics"
- Readingguide I covers fundamentals of univariate & multivariate distributions
- Readingguide II covers Gaussian Mixture Models and the general Expectation-Maximization-Algorithm
- Readingguide III covers MCMC processes in Bayesian statistics
- Readingguide IV covers Probabilistic Programming
- create a file
jupyter.env
at./config/
- put your secret Jupyter access token into
./config/jupyter.env
asJUPTER_PASSWORD=...
- run
docker-compose up -d
- launch your webbrowser of choice *, open
http://localhost:8888
and start being awesome.
For an overview of statistical distributions, see Distribution Cheatsheet.
* no, Internet Explorer is not a proper web browser...