Semiparametric mixture of additive regression models

DOI10.1080/03610926.2017.1310243zbMath1388.62120OpenAlexW2600728971MaRDI QIDQ4638735

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Publication date: 27 April 2018

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2017.1310243

zbMATH Keywords

EM algorithmadditive modelsnonparametric regressionfinite mixture models

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Linear regression; mixed models (62J05)

Related Items (2)

Estimation and inference for mixture of partially linear additive models ⋮ Semiparametric finite mixture of regression models with Bayesian P-splines

Cites Work

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• Semiparametric mixtures of regressions
• Efficient and fast spline-backfitted kernel smoothing of additive models
• Consistent estimation of a mixing distribution
• A Markov model for switching regressions
• A practical guide to splines
• Bootstrap confidence bands for regression curves and their derivatives
• Finite mixture and Markov switching models.
• Nonparametric Mixture of Regression Models
• Mixture of Regression Models With Varying Mixing Proportions: A Semiparametric Approach

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