A note on modeling sparse exponential-family functional response curves
From MaRDI portal
Publication:1658520
DOI10.1016/j.csda.2016.07.010zbMath1466.62076OpenAlexW2475846359WikidataQ39352201 ScholiaQ39352201MaRDI QIDQ1658520
Jan Gertheiss, Ana-Maria Staicu, Jeff Goldsmith
Publication date: 14 August 2018
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2016.07.010
smoothinglongitudinal datamixed modelsfunctional principal componentsbinomial datasparse sampling design
Related Items
Nonnegative decomposition of functional count data, Classification of social media users with generalized functional data analysis, Robust functional principal component analysis for non-Gaussian longitudinal data, Functional principal component analysis estimator for non-Gaussian data, Sparse logistic functional principal component analysis for binary data
Uses Software
Cites Work
- Longitudinal data analysis using generalized linear models
- Generalized functional additive mixed models
- Uniform convergence rates for nonparametric regression and principal component analysis in functional/longitudinal data
- Multilevel functional principal component analysis
- Regression models for discrete longitudinal responses. With comments and a rejoinder by the authors
- Inference based on estimating functions in the presence of nuisance parameters. With comments and rejoinder
- Model-based clustering for multivariate functional data
- Longitudinal functional principal component analysis
- Functional data analysis.
- Nonparametric functional data analysis. Theory and practice.
- Properties of principal component methods for functional and longitudinal data analysis
- Joint modelling of paired sparse functional data using principal components
- Generalized multilevel function‐on‐scalar regression and principal component analysis
- Modelling Sparse Generalized Longitudinal Observations with Latent Gaussian Processes
- Semiparametric Regression
- Principal component models for sparse functional data
- Fast Stable Restricted Maximum Likelihood and Marginal Likelihood Estimation of Semiparametric Generalized Linear Models
- Corrected Confidence Bands for Functional Data Using Principal Components
- A Marginal Approach to Reduced-Rank Penalized Spline Smoothing With Application to Multilevel Functional Data
- Multilevel Cross‐Dependent Binary Longitudinal Data
- Functional Data Analysis for Sparse Longitudinal Data
