期刊
JOURNAL OF APPLIED PROBABILITY
卷 41, 期 4, 页码 1093-1103出版社
CAMBRIDGE UNIV PRESS
DOI: 10.1239/jap/1101840554
关键词
covariance; intrinsically stationary; long memory; positive definite; stationary; variogram
This paper studies a class of stationary covariance models, in both the discrete- and the continuous-time domains, which possess a simple functional form gamma (tau +tau(0))+gamma(tau - tau(0))-2gamma (tau), where tau(0) is a fixed lag and gamma(tau) is an intrinsically stationary variogram, and include the fractional Gaussian noise of Kolmogorov (1940) and a stochastic volatility model of Barndorff-Nielsen and Shephard (2001), (2002) as special cases. Properties of the class, and interesting special cases with long memory, are studied. We also characterize the covariance function via the variogram.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据