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A Markovian Local Resampling Scheme For Nonparametric Estimators In Time Series Analysis

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Author Info
Paparoditis, Efstathios
Politis, Dimitris N.
Abstract

In this paper we study the properties of a pth-order Markovian local resampling procedure in approximating the distribution of nonparametric (kernel) estimators of the conditional expectation m(x; ). Under certain regularity conditions, asymptotic validity of the proposed resampling scheme is established for a class of stochastic processes that is broader than the class of stationary Markov processes. Some simulations illustrate the finite sample performance of the proposed resampling procedure.

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Publisher Info
Article provided by Cambridge University Press in its journal Econometric Theory.

Volume (Year): 17 (2001)
Issue (Month): 03 (June)
Pages: 540-566
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:cup:etheor:v:17:y:2001:i:03:p:540-566_17

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  1. Stanislav Anatolyev & Andrey Vasnev, 2002. "Markov chain approximation in bootstrapping autoregressions," Economics Bulletin, Economics Bulletin, vol. 3(19), pages 1-8. [Downloadable!]
  2. Graflund, Andreas, 2001. "Empirical Probability Distributions of Real Return from Swedish Stock and Bond Portfolios," Working Papers 2001:16, Lund University, Department of Economics, revised 30 Jan 2002. [Downloadable!]
  3. Manzan, S. & Zerom, D., 2005. "A Multi-Step Forecast Density," CeNDEF Working Papers 05-05, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance. [Downloadable!]
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