A method for choosing the smoothing parameter in a semi-parametric model for detecting change-points in blood flow

DOI10.1080/02664763.2013.830085OpenAlexW2033424628WikidataQ41879975 ScholiaQ41879975MaRDI QIDQ5128556

Sung Wan Han, Mary E. Putt, Theresa M. Busch, Rickson C. Mesquita

Publication date: 28 October 2020

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

Full work available at URL: http://europepmc.org/articles/pmc3896242

zbMATH Keywords

smoothing splinegeneralized degrees of freedomgeneralized cross-validationpartial splinechange-points

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

Semiparametric method for detecting multiple change points model in financial time series ⋮ A Beran-inspired estimator for the Weibull-type tail coefficient

Uses Software

• SemiPar
• Joinpoint

Cites Work

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• Smoothing Splines
• Data-Driven Discontinuity Detection in Derivatives of a Regression Function
• On Measuring and Correcting the Effects of Data Mining and Model Selection
• Semiparametric Regression
• Smoothers and theC_p, Generalized Maximum Likelihood, and Extended Exponential Criteria
• Confidence Intervals for Nonparametric Curve Estimates
• Bootstrap test for change-points in nonparametric regression

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