Barely-stationary AR(1) sequences near random walk
- Authors
- Kim, Tae Yoon; Hwang, Sun Young
- Issue Date
- Sep-2021
- Publisher
- 한국통계학회
- Keywords
- Barely-stationary AR(1); Varying coefficient; Two-sided test for random walk
- Citation
- Journal of the Korean Statistical Society, v.50, no.3, pp 832 - 843
- Pages
- 12
- Journal Title
- Journal of the Korean Statistical Society
- Volume
- 50
- Number
- 3
- Start Page
- 832
- End Page
- 843
- URI
- https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/146433
- DOI
- 10.1007/s42952-021-00124-6
- ISSN
- 1226-3192
1876-4231
- Abstract
- This article investigates a sequence of barely-stationary AR(1) processes near unit root time series, or random walk (RW). Autoregressive coefficient is allowed to depend on the sample size and we are concerned with the case that stationary AR(1) processes are converging to RW at various rates as the sample size tends to infinity. In particular, barely-stationary sequence is newly suggested for which the increasing rate in variance is specified between certain power rates. Some relevant asymptotic results are reported including the limit of the least squares estimator as a functional of fractional Brownian motion. As an application, two-sided test for RW is briefly discussed and local limiting power is obtained.
- Files in This Item
-
Go to Link
- Appears in
Collections - 이과대학 > 통계학과 > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.