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 ?
This also motivates the introduction of a reject option in classifiers, by allowing for a third decision [R] (Reject) when the conditional probability that an example belongs to each class is close to 1/2 .
By definition, this becomes a conditional probability and, per the proofs already argued, the probability of a return being audited given that it contains underreported tax does not equal the audit rate.
Again, the responses were compiled and the average of each of the new probabilities along with the data from the initial quantification was calculated and used to populate the Wayfinding BN conditional probability tables.
Following Pissarides & Wadsworth (1994), the study estimates the conditional probability for skill shortage with vacancy and hard-to-fill vacancy.
Both independent probability for pure structured words and conditional probability (Naive Bayes) for conditionally structured words have been tried out.
For each value y [member of] Y, we know the collection of all the decision feature value is related to Y as the set X, giving all the features x [member of] X, calculate conditional probability of the output which is y [member of] Y, namely to estimate the p (y|x).
A deep grasp of conditional probability evades many experts, as Daniel Kahneman has shown throughout his Nobel Prize-winning career as a psychologist and social economist; still, certain common errors in thinking can cause real confusion in patients and sometimes compromised treatment advice.
The conditional probability distribution for each node can be written as:
According to Bayes' definition of conditional probability, the probability of an outcome needs to be revised as each new piece of evidence becomes available.
The dependent variable is the conditional probability that the binary outcome is equal to
Under the BN configuration menu, the user sets up three parameters: Node, Structure, and Conditional Probability Table.
To address this question, I specified the conditional probability of graduation for student i in year j after entry into high school, given that the student did not graduate in the (j-l) year, or hazard probability, as follows:

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