September 2016
Beginner to intermediate
346 pages
6h 35m
English
Content preview from Julia for Data Science
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Understanding multivariate distributions
A multivariate probability distribution is one containing more than one random variable. There may or may not be any correlation among these random variables. A sample drawn from this distribution is a vector. Distributions.jl has implementations of commonly used multivariate functions—Multinomial, Multivariate Normal, and Dirichlet. They are implemented as follows:
Its type aliases are given as follows:
julia> typealias MultivariateDistribution{S<:ValueSupport} Distribution{Multivariate,S} julia> typealias DiscreteMultivariateDistribution Distribution{Multivariate, Discrete} julia> typealias ContinuousMultivariateDistribution ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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