1. Joint probability distributionIn the study of probability, given two random variables X and Y that are defined on the same probability space, the joint distribution for X and Y defines the probability of events defined in terms of both X and Y. In the case of only two random variables, this is called a bivariate distribution, but the concept generalizes to any number of random variables, giving a multivariate distribution. The equation for joint probability is different for both dependent and independent events.
Read “Joint probability distribution” on English Wikipedia
Read “同時分布” on Japanese Wikipedia
Read “Joint probability distribution” on DBpedia
Read “Joint probability distribution” on English Wikipedia
Read “同時分布” on Japanese Wikipedia
Read “Joint probability distribution” on DBpedia
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