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Volumn 28, Issue 4, 2001, Pages 617-623

A note on consistent estimation of multivariate parameters in ergodic diffusion models

Author keywords

Consistency; Continuous likelihood; Empirical process methods; Ergodic diffusions; Maximum likelihood estimation; Multivariate parameter

Indexed keywords


EID: 0035541829     PISSN: 03036898     EISSN: None     Source Type: Journal    
DOI: 10.1111/1467-9469.00258     Document Type: Article
Times cited : (8)

References (18)
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  • 9
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    • (1998) Entropy Methods for Martingales
    • Nishiyama, Y.1
  • 10
    • 0033472042 scopus 로고    scopus 로고
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    • Nishiyama, Y. (1999). A maximal inequality for continuous martingales and M-estimation in a Gaussian white noise model. Ann. Statist. 27, 675-696.
    • (1999) Ann. Statist. , vol.27 , pp. 675-696
    • Nishiyama, Y.1
  • 12
    • 0000431907 scopus 로고
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    • Prakasa Rao, B. L. S. & Rubin, H. (1981). Asymptotic theory of estimation in nonlinear stochastic differential equations. Sankhyā Ser. A 43, 170-189.
    • (1981) Sankhyā Ser. A , vol.43 , pp. 170-189
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  • 14
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    • Exponential inequality for martingales, with application to maximum likelihood estimation for counting processes
    • Van de Geer, S. (1995). Exponential inequality for martingales, with application to maximum likelihood estimation for counting processes. Ann. Statist. 23, 1779-1801.
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    • Van De Geer, S.1
  • 16
    • 0007286760 scopus 로고    scopus 로고
    • A multivariate central limit theorem for continuous local martingales
    • Van Zanten, J. H. (2000a). A multivariate central limit theorem for continuous local martingales. Statist. Probab. Lett. 50, 229-235.
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  • 17
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    • On the uniform convergence of the empirical density of an ergodic diffusion
    • to appear
    • Van Zanten, J. H. (2000b). On the uniform convergence of the empirical density of an ergodic diffusion. Statist. Inference Stochastic Process. to appear.
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    • Yoshida, N.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.