conditional probability

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con·di·tion·al prob·a·bil·i·ty

a probability quoted when the range of choices admitted is restricted, that is, conditional; thus, the probability of the child of a color-blind man inheriting the gene is 1/2 if the child is female and almost 0 if the child is male.

conditional probability

the probability that event A occurs, given that event B has occurred. Written P(AB).
References in periodicals archive ?
Normally, the conditional probability of errors is modeled by a two-sided geometric distribution centered at zero with only one parameter called exponential decay [lambda] [29].
Positive conditional probability is a close second to the preferred analysis.
2: Low-income students with disabilities had a lower conditional probability for on-time graduation than did non-low-income students with disabilities, except for students with intellectual disability.
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.
This problem combines calculation of the probability of a complementary event and calculation of conditional probability.
A Bayesian network is composed of a DAG / and corresponding conditional probability tables.
i]|obs) is the conditional probability of explanation [exp.
For the computation of conditional probability values many more words have been considered.
Firstly, in order to identify which pairs of complementary activities (technological and non-technological) are common in manufacturing and service sectors, and to ascertain how the structure formed by those activities changes when change the sectors that constitute Pavitt's (1 984) and Soete and Miozo's taxonomies (1 989), the following conditional probability is calculated:
As more age-related differences are generally found using word stimuli than picture stimuli, it would be interesting to confirm the validity of the conditional probability for recall given recognition as an estimate of recognition, not only using words as Danckert and Craik did (2013), but pictures as well.
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.
Each root node has prior probabilities and the conditional probability distribution (CPD) should be specified for each child node in the BNs.

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