Multivariate normal cumulative distribution (QMC)

state-of-the-art algorithm for computing the multivariate normal cdf in medium dimensions
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Mise à jour 28 oct. 2015

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Computes the probability Pr(l<X<u), where 'X' is a zero-mean multivariate normal vector with covariance 'Sig'.
In medimum to high dimensions using Quasi Monte Carlo. This algorithm is superior to the one in Matlab's statistics toolbox, see example.
Reference: Z. I. Botev (2015), "The Normal Law Under Linear Restrictions: Simulation and Estimation via Minimax Tilting", submitted to JRSS(B)

Citation pour cette source

Zdravko Botev (2026). Multivariate normal cumulative distribution (QMC) (https://fr.mathworks.com/matlabcentral/fileexchange/53697-multivariate-normal-cumulative-distribution-qmc), MATLAB Central File Exchange. Extrait(e) le .

Compatibilité avec les versions de MATLAB
Créé avec R2015b
Compatible avec toutes les versions
Plateformes compatibles
Windows macOS Linux
Version Publié le Notes de version
1.0.0.0

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