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)
Zdravko Botev (2022). Multivariate normal cumulative distribution (QMC) (https://www.mathworks.com/matlabcentral/fileexchange/53697-multivariate-normal-cumulative-distribution-qmc), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform CompatibilityWindows macOS Linux
Inspired by: Multivariate normal cumulative distribution
Inspired: Normal Quantile with Precision
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