Semiparametric deconvolution with unknown noise variance
ESAIM: PS, 6 (2002) 271-292
Published online: 2002-11-15
Articles citing this article
The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
This article has been cited by the following article(s):
Density estimation of a mixture distribution with unknown point-mass and normal error
Dang Duc Trong, Nguyen Hoang Thanh, Nguyen Dang Minh and Nguyen Nhu LanJournal of Statistical Planning and Inference 215 268 (2021)
https://doi.org/10.1016/j.jspi.2021.04.002
Density deconvolution with Laplace errors and unknown variance
Jun Cai, William C. Horrace and Christopher F. ParmeterJournal of Productivity Analysis 56 (2-3) 103 (2021)
https://doi.org/10.1007/s11123-021-00612-1
Sparse covariance matrix estimation in high-dimensional deconvolution
Denis Belomestny, Mathias Trabs and Alexandre B. TsybakovBernoulli 25 (3) (2019)
https://doi.org/10.3150/18-BEJ1040A
Flexible parametric approach to classical measurement error variance estimation without auxiliary data
Aurélie Bertrand, Ingrid Van Keilegom and Catherine LegrandBiometrics 75 (1) 297 (2019)
https://doi.org/10.1111/biom.12960
Regression Discontinuity Designs
Zhuan Pei and Yi ShenAdvances in Econometrics, Regression Discontinuity Designs 38 455 (2017)
https://doi.org/10.1108/S0731-905320170000038019
Unknown Sparsity in Compressed Sensing: Denoising and Inference
Miles E. LopesIEEE Transactions on Information Theory 62 (9) 5145 (2016)
https://doi.org/10.1109/TIT.2016.2587772
Bayesian methods for the Shape Invariant Model
Dominique Bontemps and Sébastien GadatElectronic Journal of Statistics 8 (1) (2014)
https://doi.org/10.1214/14-EJS933
Intensity estimation of non-homogeneous Poisson processes from shifted trajectories
Jérémie Bigot, Sébastien Gadat, Thierry Klein and Clément MarteauElectronic Journal of Statistics 7 (none) (2013)
https://doi.org/10.1214/13-EJS794
Semiparametric deconvolution with unknown error variance
William C. Horrace and Christopher F. ParmeterJournal of Productivity Analysis 35 (2) 129 (2011)
https://doi.org/10.1007/s11123-010-0193-z
Consistent density deconvolution under partially known error distribution
Maik Schwarz and Sébastien Van BellegemStatistics & Probability Letters 80 (3-4) 236 (2010)
https://doi.org/10.1016/j.spl.2009.10.012
Adaptivity in convolution models with partially known noise distribution
Cristina Butucea, Catherine Matias and Christophe PouetElectronic Journal of Statistics 2 (none) (2008)
https://doi.org/10.1214/08-EJS225
Adaptive estimation of the transition density of a particular hidden Markov chain
Claire LacourJournal of Multivariate Analysis 99 (5) 787 (2008)
https://doi.org/10.1016/j.jmva.2007.04.006
Minimax estimation of the noise level and of the deconvolution density in a semiparametric convolution model
Cristina Butucea and Catherine MatiasBernoulli 11 (2) (2005)
https://doi.org/10.3150/bj/1116340297