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On Uniform Laws of Large Numbers for Ergodic Diffusions and Consistency of Estimators
Authors:Van Zanten  Harry
Abstract:Consider a regular diffusion process X with finite speed measure m. Denote the normalized speed measure by μ. We prove that the uniform law of large numbers 
$$mathop {sup }limits_{f in mathcal{F}} left| {frac{1}{t}int_0^t {f(X_u ){text{d}}u} - int {f{text{ d}}mu } } right|mathop to limits^P 0$$
holds if the class 
$$mathcal{F}$$
has an envelope function that is μ-integrable, or if 
$$mathcal{F}$$
is bounded in L p(μ) for some p>1. In contrast with uniform laws of large numbers for i.i.d. random variables, we do not need conditions on the ‘size’ of the class 
$$mathcal{F}$$
in terms of bracketing or covering numbers. The result is a consequence of a number of asymptotic properties of diffusion local time that we derive. We apply our abstract results to improve consistency results for the local time estimator (LTE) and to prove consistency for a class of simple M-estimators. This revised version was published online in June 2006 with corrections to the Cover Date.
Keywords:diffusion process  uniform laws of large numbers  Glivenko–  Cantelli  local time  consistency  local time estimator   M-estimators
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