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Cheatsheet for Computational Statistics at ETH Zürich (FS22)

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CompStats cheatsheet

Cheatsheet for the course Computational Statistics (Spring 2022) read by N. Meinshausen.

This if a fork of this cheatsheet.

If you find any errors or you want to improve something, feel free to open a Pull Request.

Building with Overleaf

I used the GitHub integration provided by Overleaf to import this repository into an Overleaf project. Overleaf then takes care of everything you need and you can compile the document easily without needing to install anything locally.

Local build instructions

In case you want to compile locally, here are the instructions provided by RomeoV.

Although a pdf file is provided, you can build the pdf yourself. You need to have a distribution of Latex aswell as the command-line tool minted installed (pip install minted). Then, clone the repository and the submodule and build it:

$ pdflatex --version
pdfTeX 3.141592653-2.6-1.40.22 (TeX Live 2021/Arch Linux) [...]
$ pygmentize -V
Pygments version 2.9.0 [...]
$ git clone --recursive git@github.com:RomeoV/comp-stats-cheat-sheet.git
$ pdflatex -shell-escape formulary.tex

Sometimes the first run of pdflatex fails with error LaTeX Error: Can be used only in preamble. Cancel the compilation (with X<Enter>) and rerun the command.

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Cheatsheet for Computational Statistics at ETH Zürich (FS22)

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