December 18, 2014 · 12:00 pm

Bayesian Correlation in PyMC

Here is a StackOverflow question with a nice figure:

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Is there a nice, simple reference for just what exactly these graphical model figures mean? I want more of them.

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4 responses to “Bayesian Correlation in PyMC”

  2. Ben Vincent
    December 18, 2014 at 6:35 pm

    http://daft-pgm.org
    Although I do quick and dirty versions with OmniGraffle

  3. pmelsted
    December 18, 2014 at 8:22 pm

    The way I learned graphical models was from this book http://www.amazon.com/Probabilistic-Graphical-Models-Principles-Computation/dp/0262013193
    which is absolutely brilliant.

  4. Abraham Flaxman
    December 19, 2014 at 7:23 pm

    I think the book is what I need at this point. The speech from the wikipedia page could be helpful and is easier to get: http://videolectures.net/mlss07_ghahramani_grafm/

    Making `daft` work with `mpld3` would be a fun time, too. Thanks all!