Numerical Reconstruction of the Covariance Matrix of a Spherically Truncated Multinormal Distribution

We relate the matrix SB of the second moments of a spherically truncated normal multivariate to its full covariance matrix Σ and present an algorithm to invert the relation and reconstruct Σ from SB. While the eigenvectors of Σ are left invariant by the truncation, its eigenvalues are nonuniformly d...

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Main Authors: Filippo Palombi, Simona Toti, Romina Filippini
Format: Article
Language:English
Published: Wiley 2017-01-01
Series:Journal of Probability and Statistics
Online Access:http://dx.doi.org/10.1155/2017/6579537
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author Filippo Palombi
Simona Toti
Romina Filippini
author_facet Filippo Palombi
Simona Toti
Romina Filippini
author_sort Filippo Palombi
collection DOAJ
description We relate the matrix SB of the second moments of a spherically truncated normal multivariate to its full covariance matrix Σ and present an algorithm to invert the relation and reconstruct Σ from SB. While the eigenvectors of Σ are left invariant by the truncation, its eigenvalues are nonuniformly damped. We show that the eigenvalues of Σ can be reconstructed from their truncated counterparts via a fixed point iteration, whose convergence we prove analytically. The procedure requires the computation of multidimensional Gaussian integrals over an Euclidean ball, for which we extend a numerical technique, originally proposed by Ruben in 1962, based on a series expansion in chi-square distributions. In order to study the feasibility of our approach, we examine the convergence rate of some iterative schemes on suitably chosen ensembles of Wishart matrices. We finally discuss the practical difficulties arising in sample space and outline a regularization of the problem based on perturbation theory.
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spelling doaj-art-6407b2f821e540ed8cd0a792bbcabd8b2025-08-20T02:23:53ZengWileyJournal of Probability and Statistics1687-952X1687-95382017-01-01201710.1155/2017/65795376579537Numerical Reconstruction of the Covariance Matrix of a Spherically Truncated Multinormal DistributionFilippo Palombi0Simona Toti1Romina Filippini2Istituto Nazionale di Statistica (ISTAT), Via Cesare Balbo 16, 00184 Rome, ItalyIstituto Nazionale di Statistica (ISTAT), Via Cesare Balbo 16, 00184 Rome, ItalyIstituto Nazionale di Statistica (ISTAT), Via Cesare Balbo 16, 00184 Rome, ItalyWe relate the matrix SB of the second moments of a spherically truncated normal multivariate to its full covariance matrix Σ and present an algorithm to invert the relation and reconstruct Σ from SB. While the eigenvectors of Σ are left invariant by the truncation, its eigenvalues are nonuniformly damped. We show that the eigenvalues of Σ can be reconstructed from their truncated counterparts via a fixed point iteration, whose convergence we prove analytically. The procedure requires the computation of multidimensional Gaussian integrals over an Euclidean ball, for which we extend a numerical technique, originally proposed by Ruben in 1962, based on a series expansion in chi-square distributions. In order to study the feasibility of our approach, we examine the convergence rate of some iterative schemes on suitably chosen ensembles of Wishart matrices. We finally discuss the practical difficulties arising in sample space and outline a regularization of the problem based on perturbation theory.http://dx.doi.org/10.1155/2017/6579537
spellingShingle Filippo Palombi
Simona Toti
Romina Filippini
Numerical Reconstruction of the Covariance Matrix of a Spherically Truncated Multinormal Distribution
Journal of Probability and Statistics
title Numerical Reconstruction of the Covariance Matrix of a Spherically Truncated Multinormal Distribution
title_full Numerical Reconstruction of the Covariance Matrix of a Spherically Truncated Multinormal Distribution
title_fullStr Numerical Reconstruction of the Covariance Matrix of a Spherically Truncated Multinormal Distribution
title_full_unstemmed Numerical Reconstruction of the Covariance Matrix of a Spherically Truncated Multinormal Distribution
title_short Numerical Reconstruction of the Covariance Matrix of a Spherically Truncated Multinormal Distribution
title_sort numerical reconstruction of the covariance matrix of a spherically truncated multinormal distribution
url http://dx.doi.org/10.1155/2017/6579537
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