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Necessary and sufficient conditions for weak convergence of smoothed empirical processes

Author

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  • Radulovic, Dragan
  • Wegkamp, Marten

Abstract

Let X1,...,Xn be a sequence of i.i.d. random variables with common distribution P on the real line. Assuming that P has a smooth density, we construct a histogram based estimator Pn,H and establish weak convergence of the empirical process under sharp conditions. If is a class of indicators of sets, then the conditions imposed are necessary and sufficient.

Suggested Citation

  • Radulovic, Dragan & Wegkamp, Marten, 2003. "Necessary and sufficient conditions for weak convergence of smoothed empirical processes," Statistics & Probability Letters, Elsevier, vol. 61(3), pages 321-336, February.
  • Handle: RePEc:eee:stapro:v:61:y:2003:i:3:p:321-336
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    Cited by:

    1. Victor Chernozhukov & Iván Fernández‐Val & Blaise Melly, 2013. "Inference on Counterfactual Distributions," Econometrica, Econometric Society, vol. 81(6), pages 2205-2268, November.

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