Nonlinear nonparametric mixed-effects models for unsupervised classification

DOI10.1007/s00180-012-0366-5zbMath1306.65023OpenAlexW2074990004WikidataQ61915968 ScholiaQ61915968MaRDI QIDQ2259081

Francesca Ieva, Laura Azzimonti, Anna Maria Paganoni

Publication date: 27 February 2015

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/2434/233392

zbMATH Keywords

EM algorithmnonlinear modelsnonparametric estimationmixed-effects models

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08)

Related Items (2)

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Uses Software

• R
• S-PLUS
• car
• npmlreg
• MEMSS
• nlmdl

Cites Work

• Unnamed Item
• The geometry of mixture likelihoods, part II: The exponential family
• Maximum likelihood estimation in nonlinear mixed effects models
• Comparison of nonparametric methods in nonlinear mixed effects models
• The geometry of mixture likelihoods: A general theory
• Nonparametric EM algorithms for estimating prior distributions
• The nonlinear mixed effects model with a smooth random effects density
• Laplace's approximation for nonlinear mixed models
• An EM Algorithm for Nonlinear Random Effects Models
• Nonparametric estimation in nonlinear mixed effects models
• Mixed-Effects Models in S and S-PLUS
• A General Maximum Likelihood Analysis of Variance Components in Generalized Linear Models
• An EM algorithm for the estimation of parametric and nonparametric hierarchical nonlinear models
• On Choosing and Bounding Probability Metrics

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