Limit theorems for locally stationary processes
We present limit theorems for locally stationary processes that have a one sided time-varying moving average representation. In particular, we prove a central limit theorem (CLT), a weak and a strong law of large numbers (WLLN, SLLN) and a law of the iterated logarithm (LIL) under mild assumptions using a time-varying Beveridge–Nelson decomposition.
Year of publication: |
2020
|
---|---|
Authors: | Kawka, Rafael |
Published in: |
Statistical Papers. - Berlin, Heidelberg : Springer, ISSN 1613-9798. - Vol. 62.2020, 6, p. 2557-2571
|
Publisher: |
Berlin, Heidelberg : Springer |
Subject: | Locally stationary process | Central limit theorem | Law of large numbers | Law of the iterated logarithm |
Saved in:
freely available
Saved in favorites
Similar items by subject
-
Limit Theorems for Stopped Functionals of Markov Renewal Processes
Alsmeyer, Gerold, (1999)
-
Estimation of Mean and Covariance Operator of Autoregressive Processes in Banach Spaces
Bosq, Denis, (2002)
-
Estimation of a quantile in some nonstandard cases
Xiang, Xiaojing, (1995)
- More ...
Similar items by person