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A new reconstruction of multivariate normal orthant probabilities

Craig, Peter

Authors



Abstract

A new method is introduced for geometrically reconstructing orthant probabilities for non-singular multivariate normal distributions. Orthant probabilities are expressed in terms of those for auto-regressive sequences and an efficient method is developed for numerical approximation of the latter. The approach allows more efficient accurate evaluation of the multivariate normal cumulative distribution function than previously, for many situations where the original distribution arises from a graphical model. An implementation is available as a package for the statistical software R and an application is given to multivariate probit models.

Citation

Craig, P. (2008). A new reconstruction of multivariate normal orthant probabilities. Journal of the Royal Statistical Society: Series B, 70(1), 227-243. https://doi.org/10.1111/j.1467-9868.2007.00625.x

Journal Article Type Article
Online Publication Date Nov 2, 2007
Publication Date Feb 1, 2008
Deposit Date Feb 15, 2008
Journal Journal of the Royal Statistical Society: Series B
Print ISSN 1369-7412
Electronic ISSN 1467-9868
Publisher Royal Statistical Society
Peer Reviewed Peer Reviewed
Volume 70
Issue 1
Pages 227-243
DOI https://doi.org/10.1111/j.1467-9868.2007.00625.x
Keywords Multivariate normal distribution, Cumulative distribution function, Orthant probabilities, Polyhedral cones, Orthoscheme, Fractional fast Fourier transform, Multivariate probit model.
Publisher URL http://www.blackwell-synergy.com/doi/abs/10.1111/j.1467-9868.2007.00625.x