Index: The Book of Statistical ProofsProbability Distributions ▷ Multivariate continuous distributions ▷ Dirichlet distribution ▷ Definition

Definition: Let $X$ be a random vector. Then, $X$ is said to follow a Dirichlet distribution with concentration parameters $\alpha = \left[ \alpha_1, \ldots, \alpha_k \right]$

$\label{eq:Dir} X \sim \mathrm{Dir}(\alpha) \; ,$

if and only if its probability density function is given by

$\label{eq:beta-pdf} \mathrm{Dir}(x; \alpha) = \frac{\Gamma\left( \sum_{i=1}^k \alpha_i \right)}{\prod_{i=1}^k \Gamma(\alpha_i)} \, \prod_{i=1}^k {x_i}^{\alpha_i-1}$

where $\alpha_i > 0$ for all $i = 1, \ldots, k$, and the density is zero, if $x_i \notin [0,1]$ for any $i = 1, \ldots, k$ or $\sum_{i=1}^k x_i \neq 1$.

Sources:

Metadata: ID: D54 | shortcut: dir | author: JoramSoch | date: 2020-05-10, 20:36.