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Integrated consistency of smoothed probability density estimators for stationary sequences

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  • Castellana, J. V.

Abstract

Estimators of the form of the (marginal) probability densit strictly stationary of order 2 sequence {Xk; k>=1} are considered. This class of estimators includes the kernel type. The properties of such estimators are discussed on the basis of their mean integrated square error E[[integral operator](f;n(x) - f; (x))2 dx] (MISE). Integrated consistency results are obtained for two classes of L2 probability densities. Many of the definitions and results are analogous to those of Parzen (1958) for the spectral density and Watson and Leadbetter (1963) for the probability density of an i.i.d. sample.

Suggested Citation

  • Castellana, J. V., 1989. "Integrated consistency of smoothed probability density estimators for stationary sequences," Stochastic Processes and their Applications, Elsevier, vol. 33(2), pages 335-346, December.
    • Handle: RePEc:eee:spapps:v:33:y:1989:i:2:p:335-346
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    Cited by:

    1. Ashworth, John & Heyndels, Bruno, 2000. "A schema-theoretic approach to politicians' definitions of tax issues," Journal of Economic Psychology, Elsevier, vol. 21(1), pages 21-41, February.

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