posterior probability

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Related to Posterior probabilities: Prior probabilities

pos·te·ri·or prob·a·bil·i·ty

the best rational assessment of the probability of an outcome on the basis of established knowledge modified and brought up to date.
See also: prior probability, Bayes theorem.
References in periodicals archive ?
Besides identifying the best match, posterior probabilities rank all possible matches.
Numbers above the branches are the respective posterior probabilities; branches without numbers had posterior probabilities less than 0.90.
In the following, the posterior probabilities of each mode given consecutive observations are calculated with the training data only.
In the next section, the posterior probabilities will be computed.
Accurate inference algorithms such as HMM filter can be used to compute the posterior probabilities of destinations, but they usually cost much time and need perfect dataset.
In technical terms, these are the posterior probabilities of recession, Pr[[s.sub.t] = 1|[[OMEGA].sub.T]], for each country conditional on [[OMEGA].sub.T], the information at time t.
[although American courts are divided as to the admissibility of posterior probabilities derived through Bayes' rule with undisclosed prior probabilities--particularly in criminal cases--no appellate court in this country has held that it is error to permit testimony about the impact of the trace evidence on the prior probability.
Variable Daily Moon minimum Mean wind Mean Barometric illumination Fog temperature speed temperature pressure -- -- -- -- -- -- -- -- -- -- X -- -- -- -- X X -- Variable Posterior probability (1) Month Month (2) SD = 100 SD = 31.6 SD = 10 X X 0.810 0.511 0.155 X X 0.100 0.197 0.184 X X 0.011 0.070 0.204 (1) Posterior probabilities based on different sets of priors; standard deviations are prior standard deviations placed on the intercept and model coefficients.
The high posterior probabilities, >0.99, observed at all nodes that delineate Venezuelan strains further support these conclusions (Figure 1).
Posterior means of annual average PM10 concentrations ([micro]g/[m.sup.3]) (A) and smoothed crude mortality rates (per 100,000 residents) (B); posterior medians of attributable deaths among residents (C) and posterior probabilities (%) of a non-null impact (D) under the RS0 scenario (for annual average PM10 > 20 [micro]g/[m.sup.3]), by municipality.

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