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Contrast estimator for completely or partially observed hypoelliptic diffusion
Samson A., Thieullen M.
Stochastic Processes and their Applications (2012) Epub ahead of print - http://hal.archives-ouvertes.fr/hal-00598553
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Article in peer-reviewed journal
Mathematics/Statistics
Statistics/Statistics Theory
Contrast estimator for completely or partially observed hypoelliptic diffusion
Adeline Samson () 1, Michèle Thieullen () 2
1:  Mathématiques appliquées Paris 5 (MAP5)
http://www.math-info.univ-paris5.fr/map5/
CNRS : UMR8145 – Université Paris V - Paris Descartes
UFR de Maths et informatique 45 rue des Saints Pères 75270 PARIS CEDEX 06
France
2:  Laboratoire de Probabilités et Modèles Aléatoires (LPMA)
http://www.proba.jussieu.fr/
CNRS : UMR7599 – Université Pierre et Marie Curie [UPMC] - Paris VI – Université Paris VII - Paris Diderot
France
Parametric estimation of two-dimensional hypoelliptic diffusions is considered when complete observations -both coordinates discretely observed- or partial observations -only one coordinate observed are available. Since the volatility matrix is degenerate, Euler contrast estimators cannot be used directly. For complete observations, we introduce an Euler contrast based on the second coordinate only. For partial observations, we define a contrast based on an integrated diffusion resulting from a transformation of the original one. A theoretical study proves that the estimators are consistent and asymptotically Gaussian. A numerical application to Langevin systems illustrates the nice properties of both complete and partial observations estimators.
English

Stochastic Processes and their Applications
Publisher Elsevier
ISSN 0304-4149 
international
2012
Epub ahead of print

Hypoelliptic diffusion – Langevin system – Stochastic differential equations – Partial observations – Contrast estimator
MAP5 2011-20

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