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Contrast estimator for completely or partially observed hypoelliptic diffusion
Adeline Samson 1, Michèle Thieullen 2
(2011-06-06)

Parameter estimation for two-dimensional hypoelliptic diffusions is considered within two observations frameworks: complete observations where both coordinates are discretely observed and partial observations where only the first coordinate is discretely observed. Since the volatility matrix is degenerate, Euler contrast estimators can not be used directly. For complete observations, we introduce an Euler contrast based on the second coordinate only. For partial observations, we define an Euler contrast for an integrated diffusion resulting from a transformation of the original one. We present a theoretical study where the estimators are proved to be consistent and asymptotically Gaussian. A numerical application to Langevin systems illustrates the nice properties of both complete and partial observations estimators.
1:  Mathématiques appliquées Paris 5 (MAP5)
CNRS : UMR8145 – Université Paris V - Paris Descartes
2:  Laboratoire de Probabilités et Modèles Aléatoires (LPMA)
CNRS : UMR7599 – Université Pierre et Marie Curie (UPMC) - Paris VI – Université Paris VII - Paris Diderot
Mathematics/Statistics

Statistics/Statistics Theory
Hypoelliptic diffusion – Langevin system – Stochastic differential equations – Partial observations – Contrast estimator
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