Deconvolution Problems in Nonparametric Statistics
Alexander Meister
āļ.āļ. 2009 · Lecture Notes in Statistics āļŦāļāļąāļāļŠāļ·āļāđāļĨāđāļĄāļāļĩāđ 193 · Springer Science & Business Media
eBook
210
āļŦāļāđāļē
reportāļāļ°āđāļāļāđāļĨāļ°āļĢāļĩāļ§āļīāļ§āđāļĄāđāđāļāđāļĢāļąāļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļĒāļ·āļāļĒāļąāļ Â āļāļđāļāđāļāļĄāļđāļĨāđāļāļīāđāļĄāđāļāļīāļĄ
āđāļāļĩāđāļĒāļ§āļāļąāļ eBook āđāļĨāđāļĄāļāļĩāđ
Deconvolution problems occur in many ?elds of nonparametric statistics, for example, density estimation based on contaminated data, nonparametric - gression with errors-in-variables, image and signal deblurring. During the last two decades, those topics have received more and more attention. As appli- tions of deconvolution procedures concern many real-life problems in eco- metrics, biometrics, medical statistics, image reconstruction, one can realize an increasing number of applied statisticians who are interested in nonpa- metric deconvolution methods; on the other hand, some deep results from Fourier analysis, functional analysis, and probability theory are required to understand the construction of deconvolution techniques and their properties so that deconvolution is also particularly challenging for mathematicians. Thegeneraldeconvolutionprobleminstatisticscanbedescribedasfollows: Our goal is estimating a function f while any empirical access is restricted to some quantity h = f?G = f(x?y)dG(y), (1. 1) that is, the convolution of f and some probability distribution G. Therefore, f can be estimated from some observations only indirectly. The strategy is Ë estimating h ?rst; this means producing an empirical version h of h and, then, Ë applying a deconvolution procedure to h to estimate f. In the mathematical context, we have to invert the convolution operator with G where some reg- Ë ularization is required to guarantee that h is contained in the invertibility Ë domain of the convolution operator. The estimator h has to be chosen with respect to the speci?c statistical experiment.
āđāļŦāđāļāļ°āđāļāļ eBook āļāļĩāđ
āđāļŠāļāļāļāļ§āļēāļĄāđāļŦāđāļāļāļāļāļāļļāļāđāļŦāđāđāļĢāļēāļĢāļąāļāļĢāļđāđ
āļāđāļāļĄāļđāļĨāđāļāļāļēāļĢāļāđāļēāļ
āļŠāļĄāļēāļĢāđāļāđāļāļāđāļĨāļ°āđāļāđāļāđāļĨāđāļ
āļāļīāļāļāļąāđāļāđāļāļ Google Play Books āļŠāļģāļŦāļĢāļąāļ Android āđāļĨāļ° iPad/iPhone āđāļāļāļāļ°āļāļīāļāļāđāđāļāļĒāļāļąāļāđāļāļĄāļąāļāļīāļāļąāļāļāļąāļāļāļĩāļāļāļāļāļļāļ āđāļĨāļ°āļāđāļ§āļĒāđāļŦāđāļāļļāļāļāđāļēāļāđāļāļāļāļāļāđāļĨāļāđāļŦāļĢāļ·āļāļāļāļāđāļĨāļāđāđāļāđāļāļļāļāļāļĩāđ
āđāļĨāđāļāļāđāļāļāđāļĨāļ°āļāļāļĄāļāļīāļ§āđāļāļāļĢāđ
āļāļļāļāļāļąāļāļŦāļāļąāļāļŠāļ·āļāđāļŠāļĩāļĒāļāļāļĩāđāļāļ·āđāļāļāļēāļ Google Play āđāļāļĒāđāļāđāđāļ§āđāļāđāļāļĢāļēāļ§āđāđāļāļāļĢāđāđāļāļāļāļĄāļāļīāļ§āđāļāļāļĢāđāđāļāđ
eReader āđāļĨāļ°āļāļļāļāļāļĢāļāđāļāļ·āđāļāđ
āļŦāļēāļāļāđāļāļāļāļēāļĢāļāđāļēāļāļāļāļāļļāļāļāļĢāļāđ e-ink āđāļāđāļ Kobo eReader āļāļļāļāļāļ°āļāđāļāļāļāļēāļ§āļāđāđāļŦāļĨāļāđāļĨāļ°āđāļāļāđāļāļĨāđāđāļāļĒāļąāļāļāļļāļāļāļĢāļāđāļāļāļāļāļļāļ āđāļāļĢāļāļāļģāļāļēāļĄāļ§āļīāļāļĩāļāļēāļĢāļāļĒāđāļēāļāļĨāļ°āđāļāļĩāļĒāļāđāļāļĻāļđāļāļĒāđāļāđāļ§āļĒāđāļŦāļĨāļ·āļāđāļāļ·āđāļāđāļāļāđāļāļĨāđāđāļāļĒāļąāļ eReader āļāļĩāđāļĢāļāļāļĢāļąāļ
