Deconvolution Density Estimation is a statistical method for reconstructing the true probability density function of a latent variable from observed data corrupted by measurement error, distinguished by its explicit modeling of the error convolution process and subsequent inversion to recover the underlying density.
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2017–2026
8
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84
On deconvolution with repeated measurements
Aurore Delaigle, Peter Hall, Alexander Meister · The Annals of Statistics · 2008 · 205 citations · Full text
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106
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1–5 of 106
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93
Mathématiques Appliquées à Paris 5
Paris, France
6 h-index
12 publications
351 citations
University of Bristol
Bristol, United Kingdom
5 h-index
8 publications
821 citations
University of Amsterdam
Amsterdam, The Netherlands
5 h-index
7 publications
151 citations
Université Paris Cité
Paris, France
5 h-index
12 publications
357 citations
Centre National de la Recherche Scientifique
Paris, France
5 h-index
10 publications
156 citations
Délégation Paris 5
Paris, France
4 h-index
9 publications
297 citations
The University of Melbourne
Melbourne, Australia
4 h-index
6 publications
584 citations
University of Guelph
Guelph, Canada
4 h-index
9 publications
243 citations
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Venues
- The Annals of Statistics
12 publications · 1.7K citations
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- Journal of nonparametric statistics
8 publications · 169 citations
8
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- Canadian Journal of Statistics
CJS · 5 publications · 510 citations
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- Bernoulli
5 publications · 195 citations
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- Journal of the American Statistical Association
5 publications · 771 citations
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