Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8899288 | Journal of Mathematical Analysis and Applications | 2018 | 18 Pages |
Abstract
The abstraction of the study of stochastic processes to Banach lattices and vector lattices has received much attention by Grobler, Kuo, Labuschagne, Stoica, Troitsky and Watson over the past fifteen years. By contrast mixing processes have received very little attention. In particular mixingales were generalized to the Riesz space setting in Kuo et al. (2013) [12]. The concepts of strong and uniform mixing as well as related mixing inequalities were extended to this setting in Kuo et al. (2017) [11]. In the present work we formulate the concept of near-epoch dependence for Riesz space processes and show that if a process is near-epoch dependent and either strong or uniform mixing then the process is a mixingale, giving access to a law of large numbers. The above is applied to autoregressive processes of order 1 in Riesz spaces.
Related Topics
Physical Sciences and Engineering
Mathematics
Analysis
Authors
Wen-Chi Kuo, Michael J. Rogans, Bruce A. Watson,