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• Bayesian Phylogenetic Analysis
  ...quires combining the '''likelihood''' and the '''[[Prior probability|prior probability distribution]]'''. ...using a Bayesian approach still allows one to interpret the posterior as a probability distribution. If the prior is NOT flat, then it may have a substantial impa
  28 KB (4,371 words) - 03:28, 14 April 2008
• 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
• Dot-star file format
  where the last sequence is the query sequence, then the probability of the query sequence belonging to the waggadoodles is 60% because it forme ....**..), number of times the bipartition was observed (#obs), the posterior probability of the bipartition, and, if branch lengths were recorded on the trees in th
  8 KB (764 words) - 04:57, 13 September 2006
• Inferring Phylogenies
  <li>Logical probability?</li> <li>Zander&#8217;s conditional probability of reconstruction</li>
  20 KB (3,034 words) - 10:55, 6 January 2006
• Gp
  ;gp_mkmtx : creates nucleotide frequency matrices, such as that which are used by the gp_matrix program. ...m, which stands for "Markov chains", but all it does is to assure that the probability of selecting a nucleotide depends on what is the previous nucleotide; this
  7 KB (1,108 words) - 02:04, 13 July 2012
• Apache Spark
  * The goal is to count the frequency of each word in a document. # Filter words where the frequency is greater than 10
  47 KB (6,681 words) - 18:29, 27 November 2019