DENSITY ESTIMATION OF LEVY MEASURES FOR DISCRETELY OBSERVED DIFFUSION PROCESSES WITH JUMPS
スポンサーリンク
概要
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We study a nonparametric estimation of Levy measures for multidimensional jump-diffusion models from some discrete observations. We suppose that the jump term is driven by a Levy process with finite Levy measure, that is, a compound Poisson process. We construct a kernel-estimator of the Levy density under a sampling scheme where the terminal time tends to infinity and at the same time the distance between the observations tends to zero fast enough, and show the L^2-consistency and the optimal rate in the MSB sense. First, we consider the case where the observations are given continuously and then compare it to the discretely observed case.
- 一般社団法人日本統計学会の論文
著者
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Shimizu Yasutaka
Osaka Univ. Osaka Jpn
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Shimizu Yasutaka
Division of Mathematical Science, Graduate School of Engineering Science, Osaka University
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Shimizu Yasutaka
Division Of Mathematical Science Graduate School Of Engineering Science Osaka University
関連論文
- DENSITY ESTIMATION OF LEVY MEASURES FOR DISCRETELY OBSERVED DIFFUSION PROCESSES WITH JUMPS
- A PRACTICAL INFERENCE FOR DISCRETELY OBSERVED JUMP-DIFFUSIONS FROM FINITE SAMPLES