Difference filter preconditioning for large covariance matrices (Q2903110)
From MaRDI portal
| This is the item page for this Wikibase entity, intended for internal use and editing purposes. Please use this page instead for the normal view: Difference filter preconditioning for large covariance matrices |
scientific article; zbMATH DE number 6070717
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Difference filter preconditioning for large covariance matrices |
scientific article; zbMATH DE number 6070717 |
Statements
23 August 2012
0 references
condition number
0 references
preconditioner
0 references
stochastic process
0 references
random field
0 references
spectral analysis
0 references
fixed-domain asymptotics
0 references
covariance matrix
0 references
ill-conditioned
0 references
iterative method
0 references
0.88285273
0 references
0.8672552
0 references
0.8537139
0 references
0.8522026
0 references
0.8502439
0 references
0.8480971
0 references
0.84793097
0 references
0.84558475
0 references
0 references
Difference filter preconditioning for large covariance matrices (English)
0 references
In many statistical applications one must solve linear systems involving large, dense, and possibly irregularly structured covariance matrices. These matrices are often ill-conditioned. This paper discusses a preconditioning technique based on a differencing approach such that the preconditioned covariance matrix has a bounded condition number independent of the size of the matrix for some important process classes. It is shown that significant improvement is observed for solving these linear systems with an iterative method when used in large scale simulations of random processes.
0 references