Approximation of the principal components analysis of a stationary function
The aim of this article is the approximation of the principal components analysis (PCA) of a stationary function, defined on , by the PCA of a stationary series. For this, we use a discretization of the real line. We study the behavior of the approximation when the step of discretization decreases.
Year of publication: |
2006
|
---|---|
Authors: | Boudou, Alain |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 76.2006, 6, p. 571-578
|
Publisher: |
Elsevier |
Keywords: | Principal components analysis Stationary random function Frequency domain |
Saved in:
Saved in favorites
Similar items by person
-
On the integral with respect to the tensor product of two random measures
Boudou, Alain, (2010)
-
On spectral and random measures associated to discrete and continuous-time processes
Boudou, Alain, (2002)
-
Relation between unit operators proximity and their associated spectral measures
Boudou, Alain, (2010)
- More ...