Bernoulli
- Bernoulli
- Volume 11, Number 2 (2005), 309-340.
Minimax estimation of the noise level and of the deconvolution density in a semiparametric convolution model
Cristina Butucea and Catherine Matias
Abstract
We consider a semiparametric convolution model where the noise has known Fourier transform which decays asymptotically as an exponential with unknown scale parameter; the deconvolution density is less smooth than the noise in the sense that the tails of the Fourier transform decay more slowly, ensuring the identifiability of the model. We construct a consistent estimation procedure for the noise level and prove that its rate is optimal in the minimax sense. Two convergence rates are distinguished according to different smoothness properties for the unknown density. If the tail of its Fourier transform does not decay faster than exponentially, the asymptotic optimal rate and exact constant are evaluated, while if it does not decay faster than polynomially, this rate is evaluated up to a constant. Moreover, we construct a consistent estimator of the unknown density, by using a plug-in method in the classical kernel estimation procedure. We establish that the rates of estimation of the deconvolution density are slower than in the case of an entirely known noise distribution. In fact, nonparametric rates of convergence are equal to the rate of estimation of the noise level, and we prove that these rates are minimax. In a few specific cases the plug-in method converges at even slower rates.
Article information
Source
Bernoulli Volume 11, Number 2 (2005), 309-340.
Dates
First available in Project Euclid: 17 May 2005
Permanent link to this document
https://projecteuclid.org/euclid.bj/1116340297
Digital Object Identifier
doi:10.3150/bj/1116340297
Mathematical Reviews number (MathSciNet)
MR2132729
Zentralblatt MATH identifier
1063.62044
Keywords
analytic densities deconvolution L_2 risk minimax estimation noise level pointwise risk semiparametric model Sobolev classes supersmooth densities
Citation
Butucea, Cristina; Matias, Catherine. Minimax estimation of the noise level and of the deconvolution density in a semiparametric convolution model. Bernoulli 11 (2005), no. 2, 309--340. doi:10.3150/bj/1116340297. https://projecteuclid.org/euclid.bj/1116340297.
