Large and moderate deviations for infinite-dimensional autoregressive processes
We consider large and moderate deviations for the empirical mean and covariance of hilbertian autoregressive processes. As an application we obtain moderate deviations principles for the eigenvalues and associated projectors of the empirical covariance.
Year of publication: |
2003
|
---|---|
Authors: | Mas, André ; Menneteau, Ludovic |
Published in: |
Journal of Multivariate Analysis. - Elsevier, ISSN 0047-259X. - Vol. 87.2003, 2, p. 241-260
|
Publisher: |
Elsevier |
Keywords: | Deviations principles Autoregressive hilbertian processes Covariance operators Functional principal component analysis |
Saved in:
Saved in favorites
Similar items by person
-
Perturbation Approach Applied to the Asymptotic Study of Random Operators
Mas, André, (2001)
-
Large and Moderate Deviations Principles for Infinite Dimensional Autoregressive Processes
Mas, André, (2001)
-
Large and moderate deviations principles for infinite dimensional autoregressive processes
Mas, André, (2001)
- More ...