Partially linear varying coefficient models with missing at random responses
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Publication:379987
DOI10.1007/s10463-012-0391-8zbMath1273.62081OpenAlexW2062572463MaRDI QIDQ379987
Publication date: 11 November 2013
Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10463-012-0391-8
Nonparametric regression and quantile regression (62G08) Nonparametric hypothesis testing (62G10) Monte Carlo methods (65C05)
Related Items (7)
Model averaging procedure for varying-coefficient partially linear models with missing responses ⋮ Variable selection for semiparametric varying coefficient partially linear model based on modal regression with missing data ⋮ Empirical likelihood in varying-coefficient quantile regression with missing observations ⋮ Semiparametric quantile estimation for varying coefficient partially linear measurement errors models ⋮ Statistical inference on restricted partial linear regression models with partial distortion measurement errors ⋮ Estimation for functional partial linear models with missing responses ⋮ Model checks for nonparametric regression with missing data: a comparative study
Cites Work
- Unnamed Item
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- Doubly Robust Estimation in Missing Data and Causal Inference Models
- Consistent model specification tests
- A CONSISTENT DIAGNOSTIC TEST FOR REGRESSION MODELS USING PROJECTIONS
- Statistical methods with varying coefficient models
- Second-order nonlinear least squares estimation
- Specification tests of parametric dynamic conditional quantiles
- The transfer principle: a tool for complete case analysis
- Estimating linear functionals in nonlinear regression with responses missing at random
- Profile likelihood inferences on semiparametric varying-coefficient partially linear models
- Empirical likelihood for estimating equations with missing values
- Model checking for partially linear models with missing responses at random
- Some asymptotic theory for the bootstrap
- Comparing nonparametric versus parametric regression fits
- Nonparametric model checks for regression
- Multivariate regression estimation: Local polynomial fitting for time series
- Consistent bootstrap tests of parametric regression functions
- Efficient estimation of a semiparametric partially linear varying coefficient model
- Jackknife, bootstrap and other resampling methods in regression analysis
- Empirical likelihood-based inference under imputation for missing response data
- Weak convergence and empirical processes. With applications to statistics
- The efficiency of the second-order nonlinear least squares estimator and its extension
- Nonparametric checks for single-index models
- Generalized empirical likelihood testing in semiparametric conditional moment restrictions models
- Empirical Likelihood for Efficient Semiparametric Average Treatment Effects
- Partially Linear Hazard Regression with Varying Coefficients for Multivariate Survival Data
- The central role of the propensity score in observational studies for causal effects
- Root-N-Consistent Semiparametric Regression
- Asymptotically Efficient Estimation in the Presence of Heteroskedasticity of Unknown Form
- Bootstrap Approximations in Model Checks for Regression
- Nonparametric Estimation of Mean Functionals with Data Missing at Random
- Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
- The Generalized Estimating Equation Approach When Data Are Not Missing Completely at Random
- Model Checks for Generalized Linear Models
- A Lack-of-Fit Test for Quantile Regression
- On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects
- Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models
- Efficient Estimation and Inferences for Varying-Coefficient Models
- Functional-Coefficient Regression Models for Nonlinear Time Series
- Semiparametric Estimation of Covariance Matrixes for Longitudinal Data
- Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score
- Goodness-of-fit tests for linear regression models with missing response data
- On Bartlett correction of empirical likelihood in the presence of nuisance parameters
- Semiparametric Regression Analysis With Missing Response at Random
- A Generalization of Sampling Without Replacement From a Finite Universe
- Convergence of stochastic processes
- Consistent specification testing for conditional moment restrictions
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