Pith. sign in

REVIEW

Fast Simulation of Hyperplane-Truncated Multivariate Normal Distributions

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 1607.04751 v2 pith:ZHLVRE7T submitted 2016-07-16 stat.CO

classification stat.CO
keywords matrixmultivariatenormalsimulationdistributionfastalgorithmalgorithms
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

We introduce a fast and easy-to-implement simulation algorithm for a multivariate normal distribution truncated on the intersection of a set of hyperplanes, and further generalize it to efficiently simulate random variables from a multivariate normal distribution whose covariance (precision) matrix can be decomposed as a positive-definite matrix minus (plus) a low-rank symmetric matrix. Example results illustrate the correctness and efficiency of the proposed simulation algorithms.

Discussion (0). Continue with ORCID to comment.

Pith tools