Bayesian probability and statistics: resources

Bayes_theorem

Prediction is very hard. We have no choice but to use the past events to make a prediction about the future events. If you can detect a trend or cycle then the job gets easier but sometimes there is neither a trend nor a cycle. Even when there is a trend or cycle it may be impossible to detect it using a short look-back period. In these situations Bayesian statistics can be more useful.

The reason Bayesian statistics/probability is so controversial is that it allows beliefs to enter into the equations.

Recently, there was an article about Bayesian statistics in NYT by F.D. Flam

http://www.nytimes.com/2014/09/30/science/the-odds-continually-updated.html

The best review I have seen on the subject of Bayesian statistics and probability is

Notes on Bayesian Confirmation Theory by Michael Strevens

Other tutorials worth mentioning (I will add to this list as I discover more)

 

 

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About Suresh Emre

I have worked as a physicist at the Fermi National Accelerator Laboratory and the Superconducting Super Collider Laboratory. I am a volunteer for the Renaissance Universal movement. My main goal is to inspire the reader to engage in Self-discovery and expansion of consciousness.
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