Introduction to Bayesian Statistics

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1. dragandjSep 2017
   William Bolstad - Introduction to Bayesian Statistics

   Or E.T. Jaynes - Probability Theory, The Logic of Science (but this one is much more detailed and has lots of philosophy)

   Or Ian Hacking - An Introduction to Probability and Inductive Logic (this is the light approach written for philosophy students)

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2. darkxanthosSep 2015
   I took a step back and read Think Bayes by Downey and watched some of his youtube videos. Then Introduction to Bayesian Statistics by Bolstad is great once you're reading to deal with probabilities. Now I'm reading

   * Building probabilistic graphical models with Python (Karkera)

   * Mastering probabilistic graphical models using Python (Ankan)

   * Probabilistic Graphical Models Principles and techniques (Koller)

   Having skimmed (just started reading them) I'm very excited to continue to delve into them.

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3. eli_gottliebAug 2014
   >The reason is the computer science community constantly accepts their ignorance, even if a proof/program is trivial they will make sure to explain it. In the mathematics world no such thing exists. The big assumptions are "we leave it to the reader to proof this trivial fact" No Mr Smarty Pants, pls assume the reader is a 17 year girl who cannot send an email ( if you want to attract young people please understand their mindset first ).

   Tell it preacher!

   Also, if you still want a Bayesian stats book (which covers plenty of the material from a Frequentist intro stats course, too), William Bolstad's Introduction to Bayesian Statistics is as clear as anything I've ever read.

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