Probability and Statistics cheat sheet

Matthias Vallentin posted a comment on my post about a math/CS cheat sheet to say that he’s been working on a probability and statistics cheat sheet. Looks great, though at 24 pages it stretches the definition of “cheat sheet” even more than the computer science cheat sheet did.

Anybody know of other cool cheat sheets?

Related links:

9 thoughts on “Probability and Statistics cheat sheet

  1. I prefer the original chart by Leemis. The graphics quality is better in the new chart, but it’s too cluttered with obscure distributions. Nearly everything in the original chart is important.

  2. I suppose each serves a different need. The newer chart is mind-blowing and I’m really glad that there now exists a single place to visualize all these connections. But I agree that the older chart is more practical and relevant as a day-to-day resource.

  3. Matthias Vallentin

    Quite a few people send me the pointer to the paper from Leemis and McQueston, which includes the distribution chart I put on the last page of the cheatsheet (but did not know the author until now). Thanks folks, I updated the cheatsheet.

  4. I’ve found the following two cheat-sheets very useful:
    They’re useful when dealing with linear/Gaussian statistical models, amongst other things.

    There are a *lot* of matrix cheat-sheets around on the web. A large synthesis of several of them is: — which includes references to some of the sources.

    I once wrote a “cribsheet” listing some things that students taking an introductory machine learning course should know. Those not already knowing the things on the sheet would probably have to look elsewhere to work them out though. (more info and source )

  5. Tordek: It’s not my file. But it does look like the owner made some change that broke the file.

  6. @John: yeah, I know; I saw Matthias’ comment and was referring to him.

    @Matthias: Awesome!

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