Martingale approximations for continuous-time and discrete-time stationary Markov processes

被引:10
|
作者
Holzmann, H [1 ]
机构
[1] Univ Gottingen, Inst Mathemat Stochastik, D-37073 Gottingen, Germany
关键词
Markov process; central limit theorem; martingale; moving average process; normal operator;
D O I
10.1016/j.spa.2005.04.001
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
We show that the method of Kipnis and Varadhan [Comm. Math. Phys. 104 (1986) 1-19] to construct a Martingale approximation to an additive functional of a stationary ergodic Markov process via the resolvent is universal in the sense that a martingale approximation exists if and only if the resolvent representation converges. A sufficient condition for the existence of a martingale approximation is also given. As examples we discuss moving average processes and processes with normal generator. (c) 2005 Elsevier B.V. All rights reserved.
引用
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页码:1518 / 1529
页数:12
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