# joint probability

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Related to joint probability: conditional probability

## joint probability

n.
The probability that two or more specific outcomes will occur in an event.
ThesaurusAntonymsRelated WordsSynonymsLegend:
 Noun 1 joint probability - the probability of two events occurring togetherprobability, 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"
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For a given drug, we then have the following joint probability function for the sample we observe, based on demand data only:
where the Joint-Probability distribution to build joint probability tables (JPTs) for A and B is the product of the prior P(A) and sampling P(B|A) distributions, given as,
The main idea for using the joint probability [n.sub.xjk], [x.sub.ji]) is to take into account the correlation between SNPs with indices k and i.
For rainfall-runoff modelling, recommendations in ARR 2016 have shifted towards more holistic approaches such as joint probability approaches; for instance, quantile ensembles, event-based Monte Carlo simulation or continuous simulation techniques.
Using joint probability rule, the risk of particular event, for different risk categories, is calculated.
For the state (v, h), according to (1), the joint probability distribution can be given as follows:
Based on these assumptions, the joint probability of all the random variables is decomposed as follows:
To perform Gibbs sampling, Markov Chain Monte Carlo (MCMC) [20] based on time-dependent CRFP was constructed to integrate parameters [b.sup.t.sub.di], [k.sup.t.sub.dj], [[phi].sup.t.sub.k] and [s.sup.t.sub.di] into a joint probability distribution and states converges to a sample from this joint probability distribution.
(D) The joint probability of seedbeds meeting both the minimum matric potential and temperature requirements for germination of canola and camelina in different regions of California.

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