diffusions;
local linearization schemes;
threshold AR processes;
multi-dimensional continuous-time threshold;
AR models;
D O I:
10.1016/S0167-7152(98)00191-6
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:
The local linearization scheme, defined in Shoji and Ozaki [1997, J. Time Ser. Anal. 18, 485-506] for diffusions with smooth coefficients, is studied under some regularity conditions when the coefficients are not necessarily continuous. It is shown that the local scheme converges weakly to the diffusion itself. These results are applied to continuous-time threshold autoregressive moving-average processes and multi-dimensional continuous-time threshold AR models. (C) 1999 Elsevier Science B.V. All rights reserved.
机构:
Chinese Univ Hong Kong, Sch Sci & Engn, Shenzhen, Peoples R ChinaChinese Univ Hong Kong, Sch Sci & Engn, Shenzhen, Peoples R China
Zhang, Gongqiu
Li, Lingfei
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Univ Hong Kong, Dept Syst Engn & Engn Management, Hong Kong, Peoples R ChinaChinese Univ Hong Kong, Sch Sci & Engn, Shenzhen, Peoples R China