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Asymptotic laws for change point estimation in inverse regression

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Publication:5413271
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DOI10.5705/ss.2012.007OpenAlexW2033084953MaRDI QIDQ5413271

Sophie Hanna Clara Frick, Thorsten Hohage, Axel Munk

Publication date: 29 April 2014

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/b0a9704ede411b3db89d6023c34ec863c9ea2243


zbMATH Keywords

asymptotic normalityreproducing kernel Hilbert spacesHammerstein integral equationsentropy boundssparsityconfidence bandschange point analysisjump detectionstatistical inverse problemsdynamic stress modulipenalized least squares estimator


Mathematics Subject Classification ID

Statistics (62-XX)


Related Items (1)

Jump-penalized least absolute values estimation of scalar or circle-valued signals






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