AbstractWe present a parameterization of the class PD(n) of positive definite n×n matrices using regular vines and partial correlations. Using a bijection from (−1,1)n2→C(n) (C(n) is the class of n×n correlation matrices) with a clear probabilistic interpretation [Ann. Statist. 30 (4) (2002) 1031], we suggest a new approach to various problems involving positive definiteness
Abstract. Indefinite approximations of positive semidefinite matrices arise in many data anal-ysis a...
I show analytically that the average of $k$ bootstrapped correlation matrices rapidly becomes positi...
I show analytically that the average of $k$ bootstrapped correlation matrices rapidly becomes positi...
AbstractWe present a parameterization of the class PD(n) of positive definite n×n matrices using reg...
Indefinite symmetric matrices that are estimates of positive definite population matrices occur in a...
Indefinite symmetric matrices that are estimates of positive definite population matrices occur in a...
Indefinite symmetric matrices that are estimates of positive definite population matrices occur in a...
AbstractThis paper extends the results in [D. Kurowicka, R.M. Cooke, A parametrization of positive d...
AbstractA d-dimensional positive definite correlation matrix R=(ρij) can be parametrized in terms of...
In this dissertation a systematic approach for evaluating statistical techniques over a broad range ...
In this dissertation a systematic approach for evaluating statistical techniques over a broad range ...
The correlational structure of a set of variables is often conveniently described by the pairwise pa...
We consider the set Bp of parametric block correlation matrices with p blocks of various (and possib...
Abstract. Indefinite estimates of positive semidefinite matrices arise in many data analysis ap-plic...
INTRODUCTION Quantitative genetic theory for continuous traits under the infinitesimal model assume...
Abstract. Indefinite approximations of positive semidefinite matrices arise in many data anal-ysis a...
I show analytically that the average of $k$ bootstrapped correlation matrices rapidly becomes positi...
I show analytically that the average of $k$ bootstrapped correlation matrices rapidly becomes positi...
AbstractWe present a parameterization of the class PD(n) of positive definite n×n matrices using reg...
Indefinite symmetric matrices that are estimates of positive definite population matrices occur in a...
Indefinite symmetric matrices that are estimates of positive definite population matrices occur in a...
Indefinite symmetric matrices that are estimates of positive definite population matrices occur in a...
AbstractThis paper extends the results in [D. Kurowicka, R.M. Cooke, A parametrization of positive d...
AbstractA d-dimensional positive definite correlation matrix R=(ρij) can be parametrized in terms of...
In this dissertation a systematic approach for evaluating statistical techniques over a broad range ...
In this dissertation a systematic approach for evaluating statistical techniques over a broad range ...
The correlational structure of a set of variables is often conveniently described by the pairwise pa...
We consider the set Bp of parametric block correlation matrices with p blocks of various (and possib...
Abstract. Indefinite estimates of positive semidefinite matrices arise in many data analysis ap-plic...
INTRODUCTION Quantitative genetic theory for continuous traits under the infinitesimal model assume...
Abstract. Indefinite approximations of positive semidefinite matrices arise in many data anal-ysis a...
I show analytically that the average of $k$ bootstrapped correlation matrices rapidly becomes positi...
I show analytically that the average of $k$ bootstrapped correlation matrices rapidly becomes positi...