Deconvolution Density Estimation with Penalized MLE
Sign Up to like & getrecommendations! Published in 2024 at "Journal of the American Statistical Association"
DOI: 10.1080/01621459.2024.2436686
Abstract: Abstract Deconvolution is the important problem of estimating the distribution of a quantity of interest from a sample with additive measurement error. Nearly all infinite-dimensional deconvolution methods in the literature use Fourier transformations. These methods… read more here.
Keywords: deconvolution density; likelihood; estimation penalized; density estimation ... See more keywords
On the Study of Multiwavelet Deconvolution Density Estimators
Sign Up to like & getrecommendations! Published in 2020 at "Mathematical Problems in Engineering"
DOI: 10.1155/2020/4259373
Abstract: In this paper, multiwavelet deconvolution density estimators are presented by a linear multiwavelet expansion and a nonlinear multiwavelet expansion, respectively. Moreover, the unbiased estimation is shown, and asymptotic normality is discussed for the multiwavelet deconvolution… read more here.
Keywords: deconvolution density; multiwavelet deconvolution; density estimators;