Influence diagnostics for robust P-splines using scale mixture of normal distributions

DOI10.1007/s10463-015-0506-0zbMath1432.62106OpenAlexW2049830499MaRDI QIDQ287528

Felipe Osorio

Publication date: 20 May 2016

Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10463-015-0506-0

zbMATH Keywords

local influenceCook distancepenalized EM algorithmscale mixtures of normal distributions

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric robustness (62G35) Diagnostics, and linear inference and regression (62J20)

Related Items

Improved likelihood ratio tests in a measurement error model for multivariate replicated data ⋮ Robust nonparametric regression for heavy-tailed data ⋮ Automatic search intervals for the smoothing parameter in penalized splines

Uses Software

• R
• SemiPar
• heavy
• AS 187

Cites Work

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