Parameter expansion for estimation of reduced rank covariance matrices (Open Access publication)
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1297-9686
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Parameter expansion for estimation of reduced rank covariance matrices (Open Access publication) ; volume:40 ; number:1 ; day:15 ; month:1 ; year:2008 ; pages:1-22 ; date:2.2008
Genetics, selection, evolution ; 40, Heft 1 (15.1.2008), 1-22, 2.2008
- Creator
-
Meyer, Karin
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/1297-9686-40-1-3
- URN
-
urn:nbn:de:1111-20160325539
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:58 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Meyer, Karin
- SpringerLink (Online service)
Other Objects (12)
Adjoints and low-rank covariance representation
Generalized reduced rank regression
Chaotic dynamics and the role of covariance inflation for reduced rank Kalman filters with model error
Chaotic dynamics and the role of covariance inflation for reduced rank Kalman filters with model error
Portfolio Selection with a Rank-deficient Covariance Matrix
Portfolio Selection with a Rank-Deficient Covariance Matrix
An 'average information' restricted maximum likelihood algorithm for estimating reduced rank genetic covariance matrices or covariance functions for animal models with equal design matrices
On the estimation of reduced rank regressions
Multivariate reduced rank regression : theory and applications
Sparse reduced-rank regression for simultaneous rank and variable selection via manifold optimization
Conditional posteriors for the reduced rank regression model
Bayesian Simultaneous Equations Analysis using Reduced Rank Structures
Adjoints and low-rank covariance representation
Generalized reduced rank regression
Chaotic dynamics and the role of covariance inflation for reduced rank Kalman filters with model error
Chaotic dynamics and the role of covariance inflation for reduced rank Kalman filters with model error
Portfolio Selection with a Rank-deficient Covariance Matrix
Portfolio Selection with a Rank-Deficient Covariance Matrix
An 'average information' restricted maximum likelihood algorithm for estimating reduced rank genetic covariance matrices or covariance functions for animal models with equal design matrices
On the estimation of reduced rank regressions
Multivariate reduced rank regression : theory and applications
Sparse reduced-rank regression for simultaneous rank and variable selection via manifold optimization
Conditional posteriors for the reduced rank regression model
Bayesian Simultaneous Equations Analysis using Reduced Rank Structures
Adjoints and low-rank covariance representation
Generalized reduced rank regression
Chaotic dynamics and the role of covariance inflation for reduced rank Kalman filters with model error
Chaotic dynamics and the role of covariance inflation for reduced rank Kalman filters with model error
Portfolio Selection with a Rank-deficient Covariance Matrix
Portfolio Selection with a Rank-Deficient Covariance Matrix
An 'average information' restricted maximum likelihood algorithm for estimating reduced rank genetic covariance matrices or covariance functions for animal models with equal design matrices
On the estimation of reduced rank regressions
Multivariate reduced rank regression : theory and applications
Sparse reduced-rank regression for simultaneous rank and variable selection via manifold optimization
Conditional posteriors for the reduced rank regression model