Non parametric estimation of the jump ...
Type de document :
Pré-publication ou Document de travail
Titre :
Non parametric estimation of the jump coefficient of a diffusion with jumps
Auteur(s) :
Mot(s)-clé(s) en anglais :
jump diffusions
nonparametric estimation
model selection 62G05
62M05
nonparametric estimation
model selection 62G05
62M05
Discipline(s) HAL :
Mathématiques [math]/Statistiques [math.ST]
Résumé en anglais : [en]
In this article, we consider a jump diffusion process (Xt) t≥0 with drift function b, diffusion coefficient σ and jump coefficient ξ. This process is supposed to be ergodic, exponentially βmixing and stationary. It is ...
Lire la suite >In this article, we consider a jump diffusion process (Xt) t≥0 with drift function b, diffusion coefficient σ and jump coefficient ξ. This process is supposed to be ergodic, exponentially βmixing and stationary. It is observed at discrete times t = 0, ∆,. .. , n∆. The sampling interval ∆ tends to 0 and the time interval n∆ tends to infinity. We construct a robust, adaptive non-parametric estimator of the function ξ 4 thanks to a penalized least-square approach. We provide bounds of the empirical and L 2-risk of our estimator.Lire moins >
Lire la suite >In this article, we consider a jump diffusion process (Xt) t≥0 with drift function b, diffusion coefficient σ and jump coefficient ξ. This process is supposed to be ergodic, exponentially βmixing and stationary. It is observed at discrete times t = 0, ∆,. .. , n∆. The sampling interval ∆ tends to 0 and the time interval n∆ tends to infinity. We construct a robust, adaptive non-parametric estimator of the function ξ 4 thanks to a penalized least-square approach. We provide bounds of the empirical and L 2-risk of our estimator.Lire moins >
Langue :
Anglais
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