Home > Academics, Research, Reviews, Tutorials > Bayesian Inference

Bayesian Inference

Recently I have been looking for a good short resource for the fundamental Bayesian inference. There are tons of good relevant materials online, unfortunately, some are too long, some are too theoretic. Come on, I want to find something intuitive, making sense and understandable and readable within 30 minutes! After a couple of hours wandering on internet and reading some good relevant books, I decided to pick the best 3 books, of course in my opinion, that contributes to my understanding the most within half an hour.

  1. Bayesian Data Analysis by Andrew Gelman et al. — If you understand the concept of Bayesian framework and just want to review Bayesian inference, then the first pages of Chapter2 are sufficient. Good examples can be found in section 2.6.
  2. Bayesian core: a practical approach to computational Bayesian statistics by Jean-Michel Marin, Christian P. Robert — The book emphasizes the important concepts and has a lot of examples necessary to understand the basic ideas.
  3. Bayesian Field Theory by Jörg C. Lemm — This book provides great perspective of Bayesian framework to learning, information theory and physics. There are very a lot of figures and graphical models making the book easy to follow.
  1. stryker
    January 28, 2011 at 1:21 am

    Bayesian Data Analysis has good stuff in there bro. that is fo sho

  1. No trackbacks yet.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google+ photo

You are commenting using your Google+ account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )


Connecting to %s

%d bloggers like this: