Wavelet-based scalar-on-function finite mixture regression models

DOI10.1016/j.csda.2014.11.017zbMath1468.62042arXiv1312.0652OpenAlexW2030758636WikidataQ40381538 ScholiaQ40381538MaRDI QIDQ1660192

Adam Ciarleglio, Robert Todd Ogden

Publication date: 15 August 2018

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

Full work available at URL: https://arxiv.org/abs/1312.0652

zbMATH Keywords

waveletsEM algorithmfunctional data analysisLasso

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Nonparametric regression and quantile regression (62G08) Ridge regression; shrinkage estimators (Lasso) (62J07) Functional data analysis (62R10)

Related Items (6)

Clusterwise functional linear regression models ⋮ Regression models using shapes of functions as predictors ⋮ Editorial: The third special issue on advances in mixture models ⋮ Model-based regression clustering for high-dimensional data: application to functional data ⋮ Methods for Scalar‐on‐Function Regression ⋮ Functional concurrent hidden Markov model

Uses Software

• WaveThresh4
• fda (R)
• flexmix
• glmnet

Cites Work

• \(\ell_{1}\)-penalization for mixture regression models
• Prediction in functional linear regression
• Medical applications of finite mixture models
• Dimension reduction in functional regression with applications
• Identifiability of models for clusterwise linear regression
• Functional data analysis.
• Estimation in generalized linear models for functional data via penalized likelihood
• Wavelet-based functional linear mixed models: an application to measurement error-corrected distributed lag models
• Functional mixture regression
• A theory for multiresolution signal decomposition: the wavelet representation
• The Group Lasso for Logistic Regression
• Functional Principal Component Regression and Functional Partial Least Squares
• Variable Selection in Finite Mixture of Regression Models
• Orthonormal bases of compactly supported wavelets
• Generalized Linear Models with Functional Predictors
• Functional Additive Models
• Functional Adaptive Model Estimation
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