Non‐parametric Kernel Estimation of the Coefficient of a Diffusion
By Jean Jacod. 2000
91 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Finance, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/2ae436a9e8d6dfa57ac1fe175a80ea9074ae5898
How researchers see this paper
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In Computational Theory and Mathematics
In Finance
- Fabienne Comte
- Valentine Genon-Catalot
- Michael SØrensen
- Yves Rozenholc
- Christian M. Hafner
- Bo Martin Bibby
- Christian Pigorsch
- Jun Yu
In Statistics and Probability
- Fabienne Comte
- Valentine Genon-Catalot
- Michael SØrensen
- Yves Rozenholc
- Christian M. Hafner
- Peter Hall
- Helmut Herwartz
- Jean-Michel Zakoian
Citations in the corpus
- Penalized nonparametric mean square estimation of the coefficients of diffusion processes (2007, background): “Then the estimator σ̂2 m of σ2 defined by (20) is such that (24) E(‖σ̂(2) m − σ(2) A‖(2)n) ≤ 7π1‖σ(2) m − σ(2) A‖(2) +K E(σ(4)(X0))Dm n +K ′∆2 + K” n , where σ2 A = σ (2)1I[0,1], and K, K ′, K” are some positive constants.”
- Comment: A Selective Overview of Nonparametric Methods in Financial Econometrics (2005, background): “Other estimators of the diffusion coefficient were proposed by Soulier [23] and Jacod [ 15 ].”