Smoothing Spline Models for the Analysis of Nested and Crossed Samples of Curves

DOI10.2307/2669837zbMath1064.62515OpenAlexW4239329468MaRDI QIDQ4541159

John A. Rice, Babette A. Brumback

Publication date: 30 July 2002

Full work available at URL: https://doi.org/10.2307/2669837

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items

Fast Multilevel Functional Principal Component Analysis, Joint penalized spline modeling of multivariate longitudinal data, with application to HIV‐1 RNA load levels and CD4 cell counts, Multikink Quantile Regression for Longitudinal Data with Application to Progesterone Data Analysis, Growth dynamics and heritability for plant high‐throughput phenotyping studies using hierarchical functional data analysis, Recent developments in bootstrap methodology, Model-based curve registration via stochastic approximation EM algorithm, Tensor cubic smoothing splines in designed experiments requiring residual modelling, Inference from heteroscedastic functional data, A semiparametric model for cluster data, Smoothing and mixed models, A note on smoothing parameter selection for penalized spline smoothing, Linear functional regression: The case of fixed design and functional response, Convolutional autoregressive models for functional time series, Generalized multilevel function‐on‐scalar regression and principal component analysis, Bayesian Hierarchical Functional Data Analysis Via Contaminated Informative Priors, Profile likelihood inferences on semiparametric varying-coefficient partially linear models, Statistical inferences for functional data, Generalized functional linear models, Structured functional principal component analysis, Streamlined variational inference for higher level group-specific curve models, Prediction in functional linear regression, Empirical likelihood for longitudinal partially linear model with \(\alpha\)-mixing errors, Asymptotics of nonparametric L-1 regression models with dependent data, A simple multiway ANOVA for functional data, Estimation of the linear mixed integrated Ornstein–Uhlenbeck model, Efficient Estimation in Marginal Partially Linear Models for Longitudinal/Clustered Data Using Splines, Weighted least squares methods for prediction in the functional data linear model, Longitudinal functional principal component analysis, Appropriate covariance-specification via penalties for penalized splines in mixed models for longitudinal data, Penalized wavelets: embedding wavelets into semiparametric regression, Posterior simulation across nonparametric models for functional clustering, Bayesian nonparametric modeling for functional analysis of variance, Nonparametric maximum likelihood estimation of randomly time-transformed curves, On the estimation of functional random effects, A spatio-temporal analysis of a field trial, Functional clustering in nested designs: modeling variability in reproductive epidemiology studies, Varying Coefficient Model with Unknown Within‐Subject Covariance for Analysis of Tumor Growth Curves, Spectral‐based non‐central F mixed effect models, with application to otoacoustic emissions, Systematic deviation in smooth mixed models for multi-level longitudinal data, A Bayesian approach to functional-based multilevel modeling of longitudinal data: applications to environmental epidemiology, Fast methods for spatially correlated multilevel functional data, Two Samples Tests for Functional Data, On the Built-in Restrictions in Linear Mixed Models, with Application to Smoothing Spline Analysis of Variance, On rates of convergence in functional linear regression, An ANOVA test for functional data, Stochastic modeling of random access memories reset transitions, Nonparametric inference with generalized likelihood ratio tests (With comments and rejoinder), A note on bimodality in the log-likelihood function for penalized spline mixed models, Smooth-CAR mixed models for spatial count data, Forecasting Pollen Concentration by a Two-Step Functional Model, Two-step likelihood estimation procedure for varying-coefficient models, Sieve empirical likelihood ratio tests for nonparametric functions, Estimation of a semiparametric varying-coefficient partially linear errors-in-variables model, Semiparametric Regression for Periodic Longitudinal Hormone Data from Multiple Menstrual Cycles, Wavelet estimation in varying-coefficient partially linear regression models, A COMPARISON OF MIXED MODEL SPLINES FOR CURVE FITTING, MODEL SELECTION FOR PENALIZED SPLINE SMOOTHING USING AKAIKE INFORMATION CRITERIA, Bayesian Adaptive Regression Splines for Hierarchical Data, Properties of principal component methods for functional and longitudinal data analysis, Bridge regression: adaptivity and group selection, Double Hierarchical Generalized Linear Models (With Discussion), Wavelet modeling of functional random effects with application to human vision data, Local partial-likelihood estimation for lifetime data, A Bayesian Model for Sparse Functional Data, Bayesian Hierarchical Spatially Correlated Functional Data Analysis with Application to Colon Carcinogenesis, Rank test for heteroscedastic functional data, Bayesian function-on-function regression for multilevel functional data, Bayesian functional joint models for multivariate longitudinal and time-to-event data, Proportional functional coefficient time series models, Nested Hierarchical Functional Data Modeling and Inference for the Analysis of Functional Plant Phenotypes, Nonparametric Mixed Effects Models for Unequally Sampled Noisy Curves, Assessing Homeostasis Through Circadian Patterns, Functional Mixed Effects Models, Dynamic Conditionally Linear Mixed Models for Longitudinal Data, Hazard Regression for Interval-Censored Data with Penalized Spline, Individual and Population Penalized Regression Splines for Accelerated Longitudinal Designs, Penalized estimation in additive varying coefficient models using grouped regularization, Quantile regression for dynamic partially linear varying coefficient time series models, A simple approach for varying-coefficient model selection, Partially Linear Hazard Regression with Varying Coefficients for Multivariate Survival Data, P-spline ANOVA-type interaction models for spatio-temporal smoothing, Functional linear mixed models for irregularly or sparsely sampled data, Multilevel functional principal component analysis, A new approach to varying-coefficient additive models with longitudinal covariates, Computational techniques for spatial logistic regression with large data sets, Generalized likelihood ratio test for varying-coefficient models with different smoothing variables, Modelling Price Paths in On-Line Auctions: Smoothing Sparse and Unevenly Sampled Curves by Using Semiparametric Mixed Models, A flexible approach to Bayesian multiple curve fitting, From multivariate to functional data analysis: fundamentals, recent developments, and emerging areas, Bayesian Semiparametric Functional Mixed Models for Serially Correlated Functional Data, With Application to Glaucoma Data, Testing for Cubic Smoothing Splines under Dependent Data, A modification of Silverman's method for smoothed functional principal components analysis, The Analysis of Longitudinal Data Using Mixed Model L‐Splines, Assessing the Finite Dimensionality of Functional Data, Variable bandwidth selection in varying-coefficient models, FPCA-based method to select optimal sampling schedules that capture between-subject variability in longitudinal studies, Dynamic Modeling of Conditional Quantile Trajectories, With Application to Longitudinal Snippet Data, Estimation of the regression operator from functional fixed-design with correlated errors, A semivarying joint model for longitudinal binary and continuous outcomes, Smoothing spline ANOVA models for large data sets with Bernoulli observations and the randomized GACV., Reference priors for shrinkage and smoothing parameters, A simultaneous confidence corridor for varying coefficient regression with sparse functional data, Time-varying coefficient cumulative gap time models for intensive longitudinal ecological momentary assessment data with missingness, Estimation of semi-parametric varying-coefficient spatial panel data models with random-effects, Capturing spatiotemporal dynamics of Alaskan groundfish catch using signed-rank estimation for varying coefficient models