[1]Hopkins, K.D. & G.V. Glass. Basic Statistics for the Behavioral Sciences. Prentice-Hall Inc., Englewood Cliffs, N.J. 1978. p. 3.

[2]Although this is properly a binomial distribution rather than a normal one, the use of [sigma] to represent the variability of the sample illustrates the basic point.

[3]cf. Hopkins & Glass, p. 401ff for an example.

[4]Stutz, J. & P. Cheeseman, "A Short Exposition on Bayesian Inference and Probability." June 1994. National Aeronautic and Space Administration Ames Research Centre: Computational Sciences Division, Data Learning Group.

[5]Morgan, Bruce W. An Introduction to Bayesian Statistical Decision Processes. Prentice-Hall Inc., Englewood Cliffs, N.J. 1968. p. 15.

[6]Friedman, N. & M. Goldszmidt, "Learning Bayesian Network from Data." SRI International. 1998. http://www.erg.sri.com/people/moises/tutorial/index.htm

[7]Heckerman, D. & D. Geiger. "Learning Bayesian Networks. Microsoft Research: Redmond WA. December 1994. p. 3. http://www.research.microsoft.com/research/dtg/heckerma/TR-95-02.htm

[8]Heckerman & Geiger. p. 3.

[9]Heckerman & Geiger. p. 3.

[10]Winkler, Robert L. An Introduction to Bayesian Inference and Decision. Holt, Rinehart and Winston, Onc., Toronto. 1972.

[11]Friedman & Goldszmidt, http://www.erg.sri.com/people/moises/tutorial/sld009.htm

[12]Friedman & Goldszmidt, http://www.erg.sri.com/people/moises/tutorial/sld016.htm

[13]Friedman & Goldszmidt, http://www.erg.sri.com/people/moises/tutorial/sld020.htm

[14]Friedman & Goldszmidt, http://www.erg.sri.com/people/moises/tutorial

[15] Stutz, J., W. Taylor & P. Cheeseman
"AutoClass C - General Information" NASA, Ames Research Center: 1998. http://ic-www.arc.nasa.gov/ic/projects/bayes-group/autoclass/autoclass-c-program.html#AutoClass C

[16] http://ic-www.arc.nasa.gov/ic/projects/bayes-group/autoclass/index.html

[17]Stewart, H. & Masjedizadeh, N.
"Bayesian Search" NASA, Ames Research Center: 1998. http://ic.arc.nasa.gov/ic/projects/bayes-search.html

[18] Cooper, G., E. Horvitz, & R. Curry
"Conceptual Design of Goal Understanding Systems: Investigation of Temporal Reasoning Under Uncertainty" Decision Theory & Adaptive Systems Group, Microsoft Research. Microsoft Corp. Redmond, WA: 1998. http://research.microsoft.com/research/dtg/horvitz/goal.htm

[19] Horvitz, E.
"Lumiere Project: Bayesian Reasoning for Automated Assistance" Decision Theory & Adaptive Systems Group, Microsoft Research. Microsoft Corp. Redmond, WA: 1998. http://research.microsoft.com/research/dtg/horvitz/lum.htm

[20] Heckerman, D. & E. Horvitz
"Inferring Informational Goals from Free-Text Queries: A Bayesian Approach" Decision Theory & Adaptive Systems Group, Microsoft Research. Microsoft Corp. Redmond, WA: 1998. http://research.microsoft.com/research/dtg/horvitz/aw.htm

[21] http://www.erg.sri.com/people/moises/tutorial/sld029.htm