DocumentCode
829065
Title
Estimation of partial correlation matrices using Cholesky decomposition
Author
Dickinson, Bradley W.
Author_Institution
Princeton University, Princeton, NJ, USA
Volume
24
Issue
2
fYear
1979
fDate
4/1/1979 12:00:00 AM
Firstpage
302
Lastpage
305
Abstract
A method for obtaining estimates of the partial correlation matrices of a multivariate process using Cholesky decomposition is described. The estimates provide a minimum phase autoregressive model for the observed data and a positive definite autocorrelation function estimate.
Keywords
Autoregressive processes; Correlation methods; Least-squares estimation; Spectral estimation; Calculus; Covariance matrix; Filtering; Kernel; Matrix decomposition; Polynomials; Smoothing methods; Stochastic processes; Stochastic systems; Technological innovation;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.1979.1102008
Filename
1102008
Link To Document