English language
Toggle Transcript
joint probability::noun | Spocien Dictionary
| Type | Words |
|---|---|
| Type of | chance, probability |
Examples of joint probability
joint probability
Joint probability is the probability of two events occurring together.
From the en.wikipedia.org
The Atlas and CMS results have not yet been combined, so a joint probability is not available.
From the guardian.co.uk
If the events are not independent, then it is simply incorrect to evaluate their joint probability in this way.
From the scienceblogs.com
Then they are independent, but not necessarily identically distributed, and their joint probability distribution is given by the Bapat-Beg theorem.
From the en.wikipedia.org
If the network structure of the model is a directed acyclic graph, the model represents a factorization of the joint probability of all random variables.
From the en.wikipedia.org
Two random variables X and Y are independent only if their joint probability density function is the product of the individual probability density functions, i.e.
From the en.wikipedia.org
The non-signalling requirement imposes further conditions on the joint probability, in that the probability of a particular output a or b should depend only on its associated input.
From the en.wikipedia.org
More specifically, they allow analytical considerations to be based on the sampling distribution of a statistic, rather than on the joint probability distribution of all the individual sample values.
From the en.wikipedia.org
In statistics and in statistical physics, Gibbs sampling or a Gibbs sampler is an algorithm to generate a sequence of samples from the joint probability distribution of two or more random variables.
From the en.wikipedia.org
