conditional probability

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conditional probability

[kən′dish·ən·əl ‚präb·ə′bil·əd·ē]
(statistics)
The probability that a second event will be B if the first event is A, expressed as P (B/A).
References in periodicals archive ?
4), and conditional probabilities tables "CPTs" for their child node are given according to the gate types), the bayesian inference can then be conducted.
22) Of course, the conditional probabilities for actions in the exhaustive set of alternatives will be informed by the probable future actions of the agent, which might be heinous.
Computation of the total probability of failure as a weighted average of conditional probabilities (Equation 30).
Even though this pattern was evident for students in substantially separate placements, it is important to note that low-income students in inclusive placements had higher conditional probabilities for graduation in any year after high school entry than low-income students in substantially separate placements.
It should be noted that, overall, Betfair prediction markets give Clinton a higher conditional probability of winning the general election contingent on her winning the Democratic contest compared to the conditional probabilities across the entire Republican field.
The conditional probabilities are approximated by using the latencies of the components since last maintenance check as follows:
Finally, Table 6 presents the conditional probabilities in Science-based manufacturing sectors and shows a structure formed by complementary activities very similar to that visible in Scale-intensive manufacturing sectors (Table 4), although here the conditional probabilities are higher than in the other sector.
Developing an algorithm for calculating conditional probabilities and inference in a BN is an NP-hard problem.
Part IV argues that all audit probabilities from the taxpayer perspective are conditional probabilities, and presents evidence supporting this argument.
The probability distributions of a BN is the product of the conditional probabilities of all the variables of a BN, conditioned only on its parents (Pearl 1985).
Lifetime and age conditional probabilities of developing or dying from melanoma were calculated in DevCan software 6.
k] (x) and the conditional probabilities of all nodes in Bayesian network, defined as:

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