Local likelihood regression in generalized linear single-index models with applications to microarray data

DOI10.1016/j.csda.2006.06.021zbMath1157.62384OpenAlexW2106508772MaRDI QIDQ1010557

Julie Peyre, Sophie Lambert-Lacroix

Publication date: 6 April 2009

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

Full work available at URL: https://doi.org/10.1016/j.csda.2006.06.021

zbMATH Keywords

dimension reductionnonparametric regressiongeneralized linear modelsmicroarray datageneralized linear single-index modelslocal likelihood estimates

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Generalized linear models (logistic models) (62J12)

Related Items (5)

On forward sufficient dimension reduction for categorical and ordinal responses ⋮ Estimation of single index model with missing response at random ⋮ Weighted estimation of single index models with right censored responses ⋮ Minimum average deviance estimation for sufficient dimension reduction ⋮ Nonparametric estimation of single-index models in scale-space

Uses Software

• Fahrmeir

Cites Work

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• Ridge Estimators in Logistic Regression
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