Category:Joint Distributions
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This category contains results about Joint Distributions.
Definitions specific to this category can be found in Definitions/Joint Distributions.
Let $\struct {\Omega, \Sigma, \Pr}$ be a probability space.
Let $\struct {S, \Sigma'}$ be a measurable space.
Let $X_1, X_2, \ldots, X_d$ be random variables on $\struct {\Omega, \Sigma, \Pr}$ taking values in $\struct {S, \Sigma'}$.
Define a random vector $X : \Omega \to S^d$ by:
- $\map X \omega = \tuple {\map {X_1} \omega, \map {X_2} \omega, \ldots, \map {X_d} \omega}$
for each $\omega \in \Omega$.
Then the joint distribution of $X_1, X_2, \ldots, X_d$ is defined as the probability distribution of $X$.
Subcategories
This category has the following 2 subcategories, out of 2 total.
B
- Bivariate Distributions (1 P)