206 citations · 336 across the 3 of their papers we have counts for
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math.ST2008★ 59 cited
Density estimation with heteroscedastic error
Aurore Delaigle, Alexander Meister
It is common, in deconvolution problems, to assume that the measurement errors are identically distributed. In many real-life applications, however, this condition is not satisfied…
math.ST2008★ 206 cited
On deconvolution with repeated measurements
Aurore Delaigle, Peter Hall, Alexander Meister
In a large class of statistical inverse problems it is necessary to suppose that the transformation that is inverted is known. Although, in many applications, it is unrealistic to…
math.ST2007★ 71 cited
A ridge-parameter approach to deconvolution
Peter Hall, Alexander Meister
Kernel methods for deconvolution have attractive features, and prevail in the literature. However, they have disadvantages, which include the fact that they are usually suitable on…