Non parametric estimation of the jump ...
Document type :
Pré-publication ou Document de travail
Title :
Non parametric estimation of the jump coefficient of a diffusion with jumps
Author(s) :
English keyword(s) :
jump diffusions
nonparametric estimation
model selection 62G05
62M05
nonparametric estimation
model selection 62G05
62M05
HAL domain(s) :
Mathématiques [math]/Statistiques [math.ST]
English abstract : [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 ...
Show more >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.Show less >
Show more >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.Show less >
Language :
Anglais
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