Opuscula Math. 26, no. 1 (2006), 99-108

 
Opuscula Mathematica

Rates of convergence for the maximum likelihood estimator in the convolution model

Piotr Majerski

Abstract. Rates of convergence for the maximum likelihood estimator in the convolution model, obtained recently by S. van de Geer, are reconsidered and corrected.

Keywords: maximum likelihood estimator, entropy, Hellinger distance, rate of convergence.

Mathematics Subject Classification: 62G07.

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  • Piotr Majerski
  • AGH University of Science and Technology, Faculty of Applied Mathematics, al. Mickiewicza 30, 30-059 Kraków, Poland
  • Received: 2005-02-16.
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Piotr Majerski, Rates of convergence for the maximum likelihood estimator in the convolution model, Opuscula Math. 26, no. 1 (2006), 99-108

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