conditional probability


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conditional probability

n.
The probability that an event will occur, given that one or more other events have occurred.

conditional probability

n
(Statistics) statistics the probability of one event, A, occurring given that another, B, is already known to have occurred: written P(A|B) and equal to P(A and B)|P(B)
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Noun1.conditional probability - the probability that an event will occur given that one or more other events have occurred
probability, chance - a measure of how likely it is that some event will occur; a number expressing the ratio of favorable cases to the whole number of cases possible; "the probability that an unbiased coin will fall with the head up is 0.5"
References in periodicals archive ?
Next an admissible function is developed to estimate this conditional probability. An admissible function of the PM should have some required properties and desired characteristics, proposed herein with brief justifications.
Finally, Bayes' theorem was used to calculate the conditional probability of not being comfortable due to metabolic rate fluctuating to values that are not prescribed in ASHRAE Standard 55.
The idea of conditional probability is made more precise by Bayes Theorem.
Conditional probability tables for network condition, circuit breaker failure modes, loading levels, and consequences are represented in Tables 4, 5, 6, and 7, respectively.
This study proposes an analytical approach, posterior predictive simulation, based on real-world observations, to answer the following questions: (1) In terms of conditional probability, how much does improper workplace environment contribute to the rate of occurrence of human error?
The conditional probability examines the delays propagated to downstream flights.
This, in turn, sharpens the conditional probability of prediction errors, and increases the compression efficiency of a context adaptive entropy coder.
The conditional probability of A, given B, is defined as
* Its quantitative component X represented by probability tables (PT) for parent nodes and conditional probability tables (CPT) for descendant's nodes, arcs X = {[X.sub.i]}={P([X.sub.i]/parents([X.sub.i]))}.
So we should further clarify, second, that an action is not a probability raiser for an end simply because the conditional probability of the end given the action is higher than some relevant baseline.
An efficient and accurate method to calculate the conditional probability of failure involves an integral equation in terms of up-crossing and joint up-crossing rates [18].
The conditional probability of observing a patient's highest ICP, if ICP is observed for 5 minutes, is 0.0181.

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