====== Bayesian Statistics ====== **Recommended Books: ** * The Theory That Would Not Die: How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy by Sharon Bertsch McGray * [[https://betterexplained.com/articles/an-intuitive-and-short-explanation-of-bayes-theorem/|An Intuitive (and Short) Explanation of Bayes’ Theorem]] by Kalid Azad * [[https://betterexplained.com/articles/understanding-bayes-theorem-with-ratios/|Understanding Bayes Theorem With Ratios]]by Kalid Azad * [[https://link.springer.com/article/10.3758/s13423-017-1272-1|Bayesian data analysis for newcomers]] by John K. Kruschke and Torrin M. Liddell; (Available also [[https://osf.io/preprints/psyarxiv/nqfr5|here]]) * Bayes' Theorem Examples: A Visual Introduction For Beginners by Dan Morris (book) * [[http://www.greenteapress.com/thinkbayes/thinkbayes.pdf|Think Bayes - Bayesian Statistics Made Simple]] * [[https://bayes.wustl.edu/| Probability Theory as Extended Logic]] * [[https://bayes.wustl.edu/etj/prob/book.pdf|Probability Theory: The Logic of Science]] by Edwin T. Jaynes The motto in this section is: //the higher the level of abstraction, the better//. --> Common Question 1# <-- --> Common Question 2# <-- --> Example1# <-- --> Example2:# <--