Context: A multivariate normal distribution has mean $\mu\in \mathbb{R}^p$ and covariance matrix $\Sigma\in \mathcal{S}_{++}^p$. Maybe the $S$ is from 'symmetric' or 'singular', and I know that subscript + means that we only look at the positive part. But double plus?
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$\mathcal S^p_{++}$ is the set of all real $p \times p$ symmetric positive definite matrices. $S^p_{+}$ is the set of all real $p \times p$ symmetric positive semidefinite matrices.
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