Parameter estimates for fractional autoregressive spatial processes

成果类型:
Article
署名作者:
Boissy, Y; Bhattacharyya, BB; Li, X; Richardson, GD
署名单位:
State University System of Florida; University of Central Florida; North Carolina State University
刊物名称:
ANNALS OF STATISTICS
ISSN/ISSBN:
0090-5364
DOI:
10.1214/009053605000000589
发表日期:
2005
页码:
2553-2567
关键词:
time-series models LAW
摘要:
A binomial-type operator on a stationary Gaussian process is introduced in order to model long memory in the spatial context. Consistent estimators of model parameters are demonstrated. In particular, it is shown that (d) over cap (N) - d = Op((Log N)3)/(N)), where d = (d(1), d(2)) denotes the long memory parameter.