Asymptotic statistical equivalence for ergodic diffusions: the multidimensional case

Abstract

Asymptotic local equivalence in the sense of Le Cam is established for inference on the drift in multidimensional ergodic diffusions and an accompanying sequence of Gaussian shift experiments. The nonparametric local neighbourhoods can be attained for any dimension, provided the regularity of the drift is sufficiently large. In addition, a heteroskedastic Gaussian regression experiment is given, which is also locally asymptotically equivalent and which does not depend on the centre of localisation. For one direction of the equivalence an explicit Markov kernel is constructed.

03 May 2005, 23 pages

References in corpus (2)

• Closed-form likelihood expansions for multivariate diffusions
• Weighted uniform consistency of kernel density estimators

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