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The Wishart distribution is a common matrix distribution on square symmetric semi-definite matrices.

1 vote

rWishart: should be $dof>p-1$ or $dof \ge p$?

Use the matrixsampling package. library(matrixsampling) Sigma <- toeplitz(2:1)/10 rwishart(2, nu = 1.5, Sigma) It also allow nu <= p-1 at condition that nu is an integer (in this case the Wishart d …
Stéphane Laurent's user avatar
5 votes
Accepted

What is the Fisher's information matrix for the Wishart distribution?

$\newcommand{\D}{\textsf{D}}$ $\newcommand{\tr}{\text{tr}}$ $\newcommand{\vec}{\text{vec}}$ $\newcommand{\vech}{\text{vech}}$ I've derived it with the second order differential. The log-likelihood is …
Stéphane Laurent's user avatar
2 votes

Unsolvable Integral?

The answer can be derived from the following result. If $\Sigma \sim {\cal IW}_\nu(V)$ (inverse-Wishart) and $(G \mid \Sigma) \sim {\cal N}(\theta, \lambda\Sigma)$, then $G \sim {\cal T}_{\nu-d+1}\lef …
Stéphane Laurent's user avatar