WIAS Preprint No. 1035, (2005)

Asymptotic statistical equivalence for ergodic diffusions: The multidimensional case



Authors

  • Dalalyan, Arnak
  • Reiss, Markus

2010 Mathematics Subject Classification

  • 62G20 62B15 62G05 62G07 62M05

Keywords

  • Asymptotic equivalence, statistical experiment, Le Cam distance, ergodic diffusion, Gaussian shift, heteroskedasticregression

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.

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