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• Prior probability
  A '''prior probability''' is a [[conditional probability|marginal probability]], interpreted as a description of what is known about a variable in the ab The ''[[posterior probability]]'' is then the [[conditional probability]] of the variable taking the evidence into account.
  12 KB (1,800 words) - 22:58, 29 December 2005
• Maximum likelihood
  ...ical]] method used to make inferences about parameters of the underlying [[probability distribution]] of a given [[data set]]. ...notions in [[probability theory]] such as [[probability distribution]]s, [[probability density function]]s, [[random variable]]s and [[expected value|expectation]
  5 KB (832 words) - 04:49, 13 September 2006
• Maximum a posteriori
  ...(MAP, posterior mode, or '''maximum posterior probability''') [[estimation theory|estimation]] can be used to obtain a [[point estimation|point estimate]] of
  2 KB (305 words) - 23:05, 29 December 2005
• Marginal distribution
  ...on about ''Y'', typically calculated by summing or integrating the [[joint probability]] distribution over ''Y''. For [[discrete random variable]]s, the [[marginal probability]] mass function can be written as Pr(''X'' = ''x''). This is
  2 KB (261 words) - 23:10, 29 December 2005
• Essay On: Against the Gods
  ...way he demonstrates that understanding risk underlies everything from game theory to bridge building to wine-making. The concept of risk and probability was not developed during ancient times, though the need was certainly there
  11 KB (1,849 words) - 20:47, 5 January 2014
• Bioinformatics topics
  *[http://www.lecb.ncifcrf.gov/~toms/paper/primer/ Information Theory] — a primer by Tom Schneider *[[wikipedia:Chaos theory]]
  2 KB (233 words) - 23:38, 20 June 2008
• Diehard tests
  ...numbers. The 120 possible orderings should occur with statistically equal probability. * Renyi, A (1953). ''On the theory of order statistics'', Acta Mathematica Hungarica [http://www.akademiai.com
  4 KB (528 words) - 19:35, 11 October 2015