DOI10.1093/biomet/89.1.111zbMath0998.62024OpenAlexW2069541127MaRDI QIDQ4547581
Jianhua Z. Huang, Lan Zhou, Wu, Colin O.
Publication date: 28 November 2002
Published in: Biometrika (Search for Journal in Brave)
Full work available at URL: https://semanticscholar.org/paper/31193cecd673505a5dc022c7a6fbd60f9554fccc
Smooth-threshold estimating equations for varying coefficient partially nonlinear models based on orthogonality-projection method,
Model detection and variable selection for varying coefficient models with longitudinal data,
Conditional distance correlation screening for sparse ultrahigh-dimensional models,
Unified statistical inference for a nonlinear dynamic functional/longitudinal data model,
An empirical likelihood check with varying coefficient fixed effect model with panel data,
Local independence feature screening for nonparametric and semiparametric models by marginal empirical likelihood,
Exploratory time varying lagged regression: modeling association of cognitive and functional trajectories with expected clinic visits in older adults,
Domain selection for the varying coefficient model via local polynomial regression,
Fast inference for semi-varying coefficient models via local averaging,
A reproducing kernel Hilbert space approach to high dimensional partially varying coefficient model,
Varying-coefficient models for dynamic networks,
Model detection and estimation for varying coefficient panel data models with fixed effects,
A semiparametric model for cluster data,
Two-step estimators in partial linear models with missing response variables and error-prone covariates,
Influence diagnostics and outlier tests for varying coefficient mixed models,
Varying-coefficient hidden Markov models with zero-effect regions,
Parameter estimation for a generalized semiparametric model with repeated measurements,
Empirical likelihood inference in partially linear single-index models for longitudinal data,
Optimal weighting schemes for longitudinal and functional data,
Profile likelihood inferences on semiparametric varying-coefficient partially linear models,
Model detection and variable selection for mode varying coefficient model,
Automatic variable selection for varying coefficient models with longitudinal data,
Empirical likelihood for partially linear errors-in-variables models with longitudinal data,
Analysis of binary longitudinal data with time-varying effects,
Concurrent object regression,
Model averaging procedure for varying-coefficient partially linear models with missing responses,
Nonparametric checks for varying coefficient models with missing response at random,
Identification of local sparsity and variable selection for varying coefficient additive hazards models,
A principal varying-coefficient model for quantile regression: joint variable selection and dimension reduction,
Averaged estimation of functional-coefficient regression models with different smoothing varia\-bles,
Additive varying-coefficient model for nonlinear gene-environment interactions,
Polynomial spline estimation for generalized varying coefficient partially linear models with a diverging number of components,
Identification and estimation in quantile varying-coefficient models with unknown link function,
Variable selection for high-dimensional varying coefficient partially linear models via nonconcave penalty,
Statistical inference in partially-varying-coefficient single-index model,
Componentwise B-spline estimation for varying coefficient models with longitudinal data,
Quadratic inference functions for partially linear single-index models with longitudinal data,
Efficient estimation of varying coefficient seemly unrelated regression model,
Projection-type estimation for varying coefficient regression models,
Recent history functional linear models for sparse longitudinal data,
Testing the adequacy of varying coefficient models with missing responses at random,
Error covariance matrix correction based approach to functional coefficient regression models with generated covariates,
Shape testing in varying coefficient models,
A more flexible joint latent model for longitudinal and survival time data,
Variable selection in linear mixed effects models,
Non-asymptotic approach to varying coefficient model,
Simultaneous nonparametric regression analysis of sparse longitudinal data,
Variable selection for varying coefficient models with measurement errors,
Penalized quadratic inference functions for semiparametric varying coefficient partially linear models with longitudinal data,
A space-time varying coefficient model: the equity of service accessibility,
M-estimators for single-index model using B-spline,
Focused vector information criterion model selection and model averaging regression with missing response,
P-splines quantile regression estimation in varying coefficient models,
Reducing component estimation for varying coefficient models with longitudinal data,
Semiparametric empirical likelihood tests in varying coefficient partially linear models with repeated measurements,
Semiparametric model building for regression models with time-varying parameters,
Functional multiple-outcome model in application to multivariate growth curves of infant data,
Weighted local linear CQR for varying-coefficient models with missing covariates,
Wavelet estimation in varying coefficient models for censored dependent data,
Variable selection for spatial semivarying coefficient models,
Efficient estimation in the partially linear quantile regression model for longitudinal data,
Adaptive varying-coefficient linear quantile model: a profiled estimating equations approach,
Penalized weighted composite quantile regression for partially linear varying coefficient models with missing covariates,
Local estimation for longitudinal semiparametric varying-coefficient partially linear model,
Partially linear single index models for repeated measurements,
Impact of unknown covariance structures in semiparametric models for longitudinal data: an application to Wisconsin diabetes data,
Empirical likelihood for semi-varying coefficient models for panel data with fixed effects,
Semiparametric model for the dichotomized functional outcome after stroke: the Northern Manhattan Study,
Variable selection for fixed effects varying coefficient models,
Testing serial correlation in semiparametric varying coefficient partially linear errors-in-variables model,
Joint semiparametric mean-covariance model in longitudinal study,
Variable selection for semiparametric varying coefficient partially linear errors-in-variables models,
Efficient estimation of a semiparametric partially linear varying coefficient model,
Empirical likelihood for varying coefficient EV models under longitudinal data,
Two step estimations for a single-index varying-coefficient model with longitudinal data,
Flexible generalized varying coefficient regression models,
Quantile index coefficient model with variable selection,
Time-varying correlation structure estimation and local-feature detection for spatio-temporal data,
Variable selection for varying-coefficient models with the sparse regularization,
Copula and composite quantile regression-based estimating equations for longitudinal data,
Rank reducible varying coefficient model,
Time-varying auto-regressive models for count time-series,
New efficient spline estimation for varying-coefficient models with two-step knot number selection,
Multivariate varying coefficient model for functional responses,
Asymptotic optimality and efficient computation of the leave-subject-out cross-validation,
Penalized estimation in additive varying coefficient models using grouped regularization,
Goodness-of-fit testing for varying-coefficient models,
Quantile regression for dynamic partially linear varying coefficient time series models,
Spline estimator for simultaneous variable selection and constant coefficient identification in high-dimensional generalized varying-coefficient models,
A simple approach for varying-coefficient model selection,
Testing the significance of cell-cycle patterns in time-course microarray data using nonparametric quadratic inference functions,
Model averaging prediction for nonparametric varying-coefficient models with B-spline smoothing,
Statistical estimation in varying coefficient models with surrogate data and validation sampling,
Flexible quantile contour estimation for multivariate functional data: beyond convexity,
\(L_{1}\)-estimation in a semiparametric model with longitudinal data,
Quantile regression in partially linear varying coefficient models,
Robust estimation for varying coefficient partially functional linear regression models based on exponential squared loss function,
Nonparametric statistical learning based on modal regression,
Empirical likelihood for varying-coefficient semiparametric mixed-effects errors-in-variables models with longitudinal data,
Variable selection for generalized varying coefficient models with longitudinal data,
Variable selection in quantile varying coefficient models with longitudinal data,
General partially linear varying-coefficient transformation models for ranking data,
SiZer Inference for Varying Coefficient Models,
Two-stage local rank estimation for generalised partially linear varying-coefficient models,
Estimation on Varying-Coefficient Partially Linear Model With Different Smoothing Variables,
Modified adaptive group lasso for high-dimensional varying coefficient models,
Globally consistent model selection in semi-parametric additive coefficient models,
Statistical inference for varying-coefficient models with error-prone covariates,
Smoothing spline estimation of generalised varying-coefficient mixed model,
Variable Selection in Semiparametric Quantile Modeling for Longitudinal Data,
Sparse reduced-rank regression for multivariate varying-coefficient models,
Semiparametric Analysis of Isotonic Errors-in-Variables Regression Models with Missing Response,
On locally weighted estimation and hypothesis testing of varying-coefficient models with missing covariates,
VARIABLE SELECTION FOR PARTIALLY LINEAR VARYING COEFFICIENT QUANTILE REGRESSION MODEL,
Cardiovascular event risk dynamics over time in older patients on dialysis: A generalized multiple-index varying coefficient model approach,
Model averaging by jackknife criterion for varying-coefficient partially linear models,
B-spline estimation for partially linear varying coefficient composite quantile regression models,
Diagnostics for repeated measurements in nonlinear mixed effects models,
Estimation of multivariate frailty models with varying coefficients,
Rank-based estimation in varying coefficient partially functional linear regression models,
A New Functional Estimation Procedure for Varying Coefficient Models,
Estimation in single-index varying-coefficient panel data model,
Asymptotic Normality ofM-Estimators for Varying Coefficient Models with Longitudinal Data,
Variable selection for longitudinal varying coefficient errors-in-variables models,
Model specification test in a semiparametric regression model for longitudinal data,
Focused information criterion and model averaging for varying-coefficient partially linear models with longitudinal data,
Empirical likelihood based diagnostics for heteroscedasticity in semiparametric varying-coefficient partially linear models with missing responses,
Robust estimation and inference for general varying coefficient models with missing observations,
Empirical likelihood based inference for varying coefficient panel data models with fixed effect,
Time-varying coefficient model estimation through radial basis functions,
Joint partially linear model for longitudinal data with informative drop‐outs,
Nonparametric independence screening for ultra-high dimensional generalized varying coefficient models with longitudinal data,
Finite mixture of varying coefficient model: estimation and component selection,
Subgroup analysis for heterogeneous additive partially linear models and its application to car sales data,
Efficient Estimation in Marginal Partially Linear Models for Longitudinal/Clustered Data Using Splines,
Principal single-index varying-coefficient models for dimension reduction in quantile regression,
Unnamed Item,
Spatial autoregressive partially linear varying coefficient models,
Unified Inference for Sparse and Dense Longitudinal Data in Time‐varying Coefficient Models,
Robust and efficient variable selection for semiparametric partially linear varying coefficient model based on modal regression,
Reducing component estimation for varying coefficient models,
Penalized Spline Estimation for Varying-Coefficient Models,
Empirical likelihood of varying coefficient errors-in-variables models with longitudinal data,
Efficient semiparametric estimation in generalized partially linear additive models for longitudinal/clustered data,
M-estimation and B-spline approximation for varying coefficient models with longitudinal data,
Bayesian regression on non-parametric mixed-effect models with shape-restricted Bernstein polynomials,
Multiple-index varying-coefficient models for longitudinal data,
Varying Coefficient Model with Unknown Within‐Subject Covariance for Analysis of Tumor Growth Curves,
Testing for constancy in varying coefficient models,
A Semiparametric Change-Point Regression Model for Longitudinal Observations,
Two-stage efficient estimation of longitudinal nonparametric additive models,
Estimation in Varying-Coefficient Errors-in-Variables Models with Missing Response Variables,
Nonparametric inference with generalized likelihood ratio tests (With comments and rejoinder),
Informative Estimation and Selection of Correlation Structure for Longitudinal Data,
On a Principal Varying Coefficient Model,
Robust estimation for functional coefficient regression models with spatial data,
Empirical likelihood inference in mixture of semiparametric varying-coefficient models for longitudinal data with non-ignorable dropout,
Functional-coefficient partially linear regression model,
Robust spline-based variable selection in varying coefficient model,
Comparisons between simultaneous and componentwise splines for varying coefficient models,
On Properties of Functional Principal Components Analysis,
SPLINE-BACKFITTED KERNEL SMOOTHING OF ADDITIVE COEFFICIENT MODEL,
Smoothed empirical likelihood inference via the modified Cholesky decomposition for quantile varying coefficient models with longitudinal data,
Nonparametric estimation for time-varying transformation models with longitudinal data,
Assessing extrema of empirical principal component functions,
Backfitting and local likelihood methods for nonparametric mixed-effects models with longitudinal data,
Profile inference on partially linear varying-coefficient errors-in-variables models under restricted condition,
Unnamed Item,
Principal varying coefficient estimator for high-dimensional models,
Semiparametric GEE analysis in partially linear single-index models for longitudinal data,
Smooth-threshold GEE variable selection for varying coefficient partially linear models with longitudinal data,
Dimensionality Reduction and Variable Selection in Multivariate Varying-Coefficient Models With a Large Number of Covariates,
Polynomial Spline Estimation for a Generalized Additive Coefficient Model,
A goodness-of-fit test for a varying-coefficients model in longitudinal studies,
Semiparametric Time-Varying Coefficients Regression Model for Longitudinal Data,
Effective simultaneous confidence bands for repeated measurements in linear mixed-effect models,
Unnamed Item,
Marginal quantile regression for varying coefficient models with longitudinal data,
Simultaneous structure estimation and variable selection in partial linear varying coefficient models for longitudinal data,
A new approach to varying-coefficient additive models with longitudinal covariates,
Robust variable selection in modal varying-coefficient models with longitudinal,
L1-estimation for varying coefficient models,
A Bayesian Time-Varying Coefficient Model for Multitype Recurrent Events,
Adjusting for baseline information in comparing the efficacy of treatments using bivariate varying-coefficient models,
Hierarchical time-varying mixed-effects models in high-dimensional time series and longitudinal data studies,
FSEM: Functional Structural Equation Models for Twin Functional Data,
Integrated Estimation of Functional-Coefficient Regression Models with Different Smoothing Variables,
Joint Mean-Covariance Models with Applications to Longitudinal Data in Partially Linear Model,
A Penalized Spline Approach to Functional Mixed Effects Model Analysis,
Sparsistent and constansistent estimation of the varying-coefficient model with a diverging number of predictors,
Efficient semiparametric regression for longitudinal data with regularised estimation of error covariance function,
Estimation and Identification of a Varying-Coefficient Additive Model for Locally Stationary Processes,
Corrected local polynomial estimation in varying-coefficient models with measurement errors,
Wavelet estimation in time-varying coefficient models,
A simultaneous confidence corridor for varying coefficient regression with sparse functional data,
Robust adaptive estimation for semivarying coefficient models,
Adaptive estimation for varying coefficient models,
SCAD-penalized regression for varying-coefficient models with autoregressive errors,
Structural identification and variable selection in high-dimensional varying-coefficient models,
Sparse high-dimensional varying coefficient model: nonasymptotic minimax study,
A new estimation in functional linear concurrent model with covariate dependent and noise contamination,
Varying Coefficient Regression Models: A Review and New Developments,
Robust and sparse learning of varying coefficient models with high-dimensional features,
Robust empirical likelihood inference for partially linear varying coefficient models with longitudinal data,
Unified variable selection for varying coefficient models with longitudinal data,
A Wavelet-Based Independence Test for Functional Data With an Application to MEG Functional Connectivity,
Empirical Likelihood Ratio Tests for Varying Coefficient Geo Models,
Wavelet-L1-estimation for non parametric location-scale models under a general dependence framework,
Bayesian modelling of time-varying conditional heteroscedasticity,
Dynamic modeling for multivariate functional and longitudinal data,
Variable selection and estimation for partially linear single-index models with longitudinal data,
Quadratic Inference Functions for Varying‐Coefficient Models with Longitudinal Data,
Time varying mixed effects model with fused lasso regularization