A Short Note on a Flexible Cholesky Parameterization of Correlation Matrices

Fuente: arXiv
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Main Author: Pinkney, Sean
Format: Preprint
Published: 2024
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author Pinkney, Sean
author_facet Pinkney, Sean
contents We propose a Cholesky factor parameterization of correlation matrices that facilitates a priori restrictions on the correlation matrix. It is a smooth and differentiable transform that allows additional boundary constraints on the correlation values. Our particular motivation is random sampling under positivity constraints on the space of correlation matrices using MCMC methods.
format Preprint
id arxiv_https___arxiv_org_abs_2405_07286
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A Short Note on a Flexible Cholesky Parameterization of Correlation Matrices
Pinkney, Sean
Computation
We propose a Cholesky factor parameterization of correlation matrices that facilitates a priori restrictions on the correlation matrix. It is a smooth and differentiable transform that allows additional boundary constraints on the correlation values. Our particular motivation is random sampling under positivity constraints on the space of correlation matrices using MCMC methods.
title A Short Note on a Flexible Cholesky Parameterization of Correlation Matrices
topic Computation
url https://arxiv.org/abs/2405.07286