This page is a homage to (i.e. stolen from) a page originally designed by the good people with the Automated Learning Group at the NASA Ames Research Center.


Bayes Theorem

"This is Bayes' Theorem. It is named after Rev. Thomas Bayes, an 18th century mathematician who derived a special case of this theorem. Bayes' calculations [2] were published in 1763, two years after his death. Exactly what Bayes intended to do with the calculation, if anything, still remains a mystery today. However, this theorem, as generalized by Laplace [3], is the basic starting point for inference problems using probability theory as logic." [1]

[1]
Bretthorst, G. Larry, "An Introduction to Model Selection Using Probability Theory as Logic", in Maximum Entropy and Bayesian Methods, Santa Barbara 1993, G. Heidbreder ed., Kluwer Academic Publishers, Dordrecht the Netherlands, 1994.
[2]
Bayes, Rev. T., "An Essay Toward Solving a Problem in the Doctrine of Chances", Philos. Trans. R. Soc. London 53, pp. 370-418 (1763); reprinted in Biometrika 45, pp. 293-315 (1958), and Two Papers by Bayes, with commentary by W. Edwards Deming, New York, Hafner, 1963.
[3]
Laplace, P. S., A Philosophical Essay on Probabilities, unabridged and unaltered reprint of Truscott and Emory translation, Dover Publications, Inc., New York, 1951, original publication date 1814.


Resources

Stutz, J., & Cheeseman, P., "A Short Exposition on Bayesian Inference and Probability"
Jaynes, E.T., "Probability Theory: The Logic of Science", 1994.
Press, S. James, "Bayesian Statistics: Principles, Models, and Applications", John Wiley & Sons, New York, 1989. [ The likeness of Rev. Bayes is from the frontispiece of this book. ]