Advanced-statistics

Source code for the module "Advanced Statistics"

Structure

• 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

Sample Content

Infered Mixture model

Contour w/ levels

Trace Plot

How to start the repository

1. create a file jupyter.env at ./config/
2. put your secret Jupyter access token into ./config/jupyter.env as JUPTER_PASSWORD=...
3. run docker-compose up -d
4. launch your webbrowser of choice ^*, open http://localhost:8888 and start being awesome.

Other Remarks

For an overview of statistical distributions, see Distribution Cheatsheet.

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* no, Internet Explorer is not a proper web browser...