Third-order asymptotic expansion of M-estimators for diffusion processes

被引:4
|
作者
Sakamoto, Yuji [1 ]
Yoshida, Nakahiro [2 ,3 ]
机构
[1] Kobe Univ, Grad Sch Human Dev & Environm, Nada Ku, Kobe, Hyogo 6578501, Japan
[2] Univ Tokyo, Grad Sch Math Sci, Tokyo, Japan
[3] Japan Sci & Technol Agcy, Tokyo, Japan
关键词
Asymptotic expansion; M-estimator; Diffusion process; MARKOVIAN PROCESSES; MALLIAVIN CALCULUS; POISSON EQUATION; STABILITY; APPROXIMATION; CRITERIA;
D O I
10.1007/s10463-008-0190-4
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
For an unknown parameter in the drift function of a diffusion process, we consider an M-estimator based on continuously observed data, and obtain its distributional asymptotic expansion up to the third order. Our setting covers the misspecified cases. To represent the coefficients in the asymptotic expansion, we derive some formulas for asymptotic cumulants of stochastic integrals, which are widely applicable to many other problems. Furthermore, asymptotic properties of cumulants of mixing processes will be also studied in a general setting.
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页码:629 / 661
页数:33
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