Empirical likelihood in single-index partially functional linear model with missing observations

Cites Work

Unnamed Item
Unnamed Item
Variable selection for additive partial linear quantile regression with missing covariates
Weighted local linear CQR for varying-coefficient models with missing covariates
On prediction rate in partial functional linear regression
Quantile regression and its empirical likelihood with missing response at random
Empirical likelihood ratio confidence regions
Single-index partially functional linear regression model
Estimation for a partial-linear single-index model
Prediction in functional linear regression
Methodology and convergence rates for functional linear regression
Estimation and empirical likelihood for single-index models with missing data in the covariates
Estimation, imputation and prediction for the functional linear model with scalar response with responses missing at random
Smoothed empirical likelihood analysis of partially linear quantile regression models with missing response variables
Estimation and variable selection for partial functional linear regression
Partially functional linear regression in reproducing kernel Hilbert spaces
Partial functional linear regression
Estimation for functional partial linear models with missing responses
Regression imputation in the functional linear model with missing values in the response
Semiparametric efficient estimation for partially linear single-index models with responses missing at random
Empirical likelihood for single-index models with responses missing at random
Partially functional linear regression in high dimensions
Partially functional linear varying coefficient model
Estimation in Partially Linear Single-Index Models with Missing Covariates
Methodology and Algorithms of Empirical Likelihood
Penalized contrast estimation in functional linear models with circular data
Functional Generalized Linear Models with Images as Predictors
Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
Quantile regression of partially linear single-index model with missing observations
Empirical likelihood in varying-coefficient quantile regression with missing observations
Empirical likelihood inference for partial functional linear model with missing responses
Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators
Empirical likelihood for single index model with missing covariates at random
Efficient Quantile Regression Analysis With Missing Observations
Two‐Stage Functional Mixed Models for Evaluating the Effect of Longitudinal Covariate Profiles on a Scalar Outcome
The bootstrap and Edgeworth expansion

This page was built for publication: Empirical likelihood in single-index partially functional linear model with missing observations