Asymptotics for linear random fields
We prove that partial sums of linear multiparameter stochastic processes can be represented as partial sums of independent innovations plus components that are uniformly of smaller order. This representation is exploited to establish functional central limit theorems and strong approximations for random fields.
| Year of publication: |
2001
|
|---|---|
| Authors: | Marinucci, D. ; Poghosyan, S. |
| Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 51.2001, 2, p. 131-141
|
| Publisher: |
Elsevier |
| Keywords: | Approximation of linear random fields Invariance principle Hungarian construction |
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