Convergence of quadratic forms with nonvanishing diagonal
Motivated by applications to time series analysis, we establish the asymptotic normality of a quadratic form in i.i.d. random variables which has a nonvanishing diagonal. Our theory covers the case of both the finite and the infinite fourth moment, and leads to new results also in the case of a vanishing diagonal.
Year of publication: |
2007
|
---|---|
Authors: | Bhansali, R.J. ; Giraitis, L. ; Kokoszka, P.S. |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 77.2007, 7, p. 726-734
|
Publisher: |
Elsevier |
Subject: | Asymptotic normality Quadratic form |
Saved in:
Saved in favorites
Similar items by person
-
Approximations and limit theory for quadratic forms of linear processes
Bhansali, R.J., (2007)
-
Estimation of the memory parameter by fitting fractionally differenced autoregressive models
Bhansali, R.J., (2006)
-
Bhansali, R.J., (2002)
- More ...