# conditional probability

(redirected from Marginal probability)
Also found in: Dictionary, Medical, Encyclopedia, Wikipedia.
Graphic Thesaurus  🔍
 Display ON Animation ON
 Legend Synonym Antonym Related
• noun

## Synonyms for conditional probability

### the probability that an event will occur given that one or more other events have occurred

#### Related Words

References in periodicals archive ?
It allows the computation of the marginal probability of a node (component or event) by taking into account the interactions between the nodes of the network.
TABLE 3 Marginal Probability of Estimating Refund Amount at Initial Intake to Tax Site (Before Filing) (1) (2) Estimated Estimated Refund Refund Age 18-29 0.
This research shows that for Mexico the marginal probability associated with income is 0.
Overnight Index Swaps still price in a marginal probability of a rate hike before the year is through.
While the practical implications for CT scan services were somewhat less than for cardiac SSH competition, the marginal probability of .
The marginal probability for GMI rating in the litigation probit regressions is 0.
For instance, we may adopt the criterion that the best label value for Yi is simply the one corresponding to the highest marginal probability obtained by summing over all other variables from the probability distribution associated with the pairwise MRF.
7) by averaging out with respect to the marginal probability element P(dw) = dw/(2[pi]) for each [theta].
The marginal probability coefficient of the first educational level (1-8 years) of decisionmaker is significant only for boiling method.
P(A) is the prior or marginal probability of A (the probability of a cocaine-positive outcome).
For ease of interpretation, we also include the odds ratio (logit) and marginal probability (probit) calculations for each variable.
Notwithstanding, as Multinomial Logit coefficients do not inform about the size and direction of the effects of marginal variations in the explanatory variables over the dependent variable, we calculate, additionally, the marginal probability distribution functions corresponding to the both types of matches.
where m(x) is the marginal probability of test result x, and r(x) is the conditional disease probability given x; m(x) and r(x) clearly depend on p as well as on data contained in the ROC curve.
The authors are interested in the marginal probability estimate for [RECALL.
Site: Follow: Share:
Open / Close