Selective inference for additive and linear mixed models

DOI10.1016/j.csda.2021.107350OpenAlexW3199655981WikidataQ108863848 ScholiaQ108863848MaRDI QIDQ2072385

Philipp F. M. Baumann, David Rügamer, Sonja Greven

Publication date: 26 January 2022

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2007.07930

zbMATH Keywords

model selectionmixed modelsmonetary economicspost-selection inference

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (3)

Uniformly valid inference based on the Lasso in linear mixed models ⋮ Mixed-effect models with trees ⋮ Semiparametric Regression with R

Uses Software

• R
• gamair
• Lmertest
• cAIC4

Cites Work

• Unnamed Item
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• Valid post-selection inference
• Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
• Selective inference after likelihood- or test-based model selection in linear models
• Uniform asymptotic inference and the bootstrap after model selection
• Inference for \(L_2\)-boosting
• A unifying approach to the estimation of the conditional Akaike information in generalized linear mixed models
• On generalized degrees of freedom with application in linear mixed models selection
• Coverage Properties of Confidence Intervals for Generalized Additive Model Components
• On the behaviour of marginal and conditional AIC in linear mixed models
• Robust linear mixed models using the skew t distribution with application to schizophrenia data
• Asymptotic post-selection inference for the Akaike information criterion

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