Jump estimation in inverse regression

DOI10.1214/08-EJS204zbMath1326.62074arXiv0803.2119MaRDI QIDQ1952028

Leif Boysen, Axel Munk, Sophie Bruns

Publication date: 27 May 2013

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0803.2119

zbMATH Keywords

asymptotic normalityreproducing kernel Hilbert spacespositive definite functionsdeconvolutiontotal positivityentropy boundschange-point estimationsingular kernelsjump estimationnative Hilbert spaces

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Hilbert spaces with reproducing kernels (= (proper) functional Hilbert spaces, including de Branges-Rovnyak and other structured spaces) (46E22)

Related Items (3)

Iterative Potts minimization for the recovery of signals with discontinuities from indirect measurements: the multivariate case ⋮ Consistency of a range of penalised cost approaches for detecting multiple changepoints ⋮ The $L^1$-Potts Functional for Robust Jump-Sparse Reconstruction

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