Nonparametric Estimation of Mean Functionals with Data Missing at Random
From MaRDI portal
Publication:4292140
DOI10.2307/2291203zbMath0800.62213OpenAlexW4241410911MaRDI QIDQ4292140
Publication date: 10 July 1994
Full work available at URL: https://doi.org/10.2307/2291203
Related Items
Dimension reduction with missing response at random ⋮ Nonparametric Mean Estimation with Missing Data ⋮ Missing responses at random in functional single index model for time series data ⋮ Smoothed empirical likelihood analysis of partially linear quantile regression models with missing response variables ⋮ Smoothed empirical likelihood for quantile regression models with response data missing at random ⋮ A beyond multiple robust approach for missing response problem ⋮ Nonparametric independence feature screening for ultrahigh-dimensional missing data ⋮ Dimension-reduced semiparametric estimation of distribution functions and quantiles with nonignorable nonresponse ⋮ Empirical likelihood for varying coefficient partially nonlinear model with missing responses ⋮ Empirical likelihood inference for a partially linear errors-in-variables model with covariate data missing at random ⋮ Estimation of semiparametric varying-coefficient spatial autoregressive models with missing in the dependent variable ⋮ Estimating linear functionals in nonlinear regression with responses missing at random ⋮ Quasi-likelihood estimation of average treatment effects based on model information ⋮ On nonparametric classification with missing covariates ⋮ Empirical likelihood for single-index models with responses missing at random ⋮ Confidence intervals for nonparametric regression functions with missing data: multiple design case ⋮ Single-index varying-coefficient models with missing covariates at random ⋮ Robust and efficient estimation for the treatment effect in causal inference and missing data problems ⋮ Equipercentile equating via data-imputation techniques ⋮ Nonparametric curve estimation with missing data: a general empirical process approach ⋮ Dimension reduction estimation for probability density with data missing at random when covariables are present ⋮ Nonparametric regression estimation with missing data ⋮ Nonparametric \(M\)-type regression estimation under missing response data ⋮ Outcome regression-based estimation of conditional average treatment effect ⋮ Statistical inference for right-censored data with nonignorable missing censoring indicators ⋮ Empirical likelihood inference for estimating equation with missing data ⋮ An efficient multiple imputation approach for estimating equations with response missing at random and high-dimensional covariates ⋮ Empirical likelihood based diagnostics for heteroscedasticity in semiparametric varying-coefficient partially linear models with missing responses ⋮ Imputation in nonparametric quantile regression with complex data ⋮ Combining conditional and unconditional moment restrictions with missing responses ⋮ Robust estimation and inference for general varying coefficient models with missing observations ⋮ Partially linear varying coefficient models with missing at random responses ⋮ A nonparametric inverse probability weighted estimation for functional data with missing response data at random ⋮ Distribution estimation with auxiliary information for missing data ⋮ Robust confidence regions for the semi-parametric regression model with responses missing at random ⋮ An imputation based empirical likelihood approach to pretest-posttest studies ⋮ Semi-parametric rank regression with missing responses ⋮ Testing the adequacy of varying coefficient models with missing responses at random ⋮ Hazard function estimation with cause-of-death data missing at random ⋮ Unnamed Item ⋮ Unnamed Item ⋮ Empirical likelihood for semiparametric regression model with missing response data ⋮ Nonparametric quantile regression estimation for functional data with responses missing at random ⋮ On density and regression estimation with incomplete data ⋮ Fuzzy density estimation ⋮ Empirical likelihood based weighted GMM estimation with missing response at random ⋮ Robust doubly protected estimators for quantiles with missing data ⋮ Robust Model-Based Inference for Incomplete Data via Penalized Spline Propensity Prediction ⋮ Semi-functional partially linear regression model with responses missing at random ⋮ Marginal density estimation from incomplete bivariate data ⋮ Single Functional Index Model under Responses MAR and Dependent Observations ⋮ The signed-rank estimator for nonlinear regression with responses missing at random ⋮ Empirical likelihood method for quantiles with response data missing at random ⋮ Estimation in Varying-Coefficient Errors-in-Variables Models with Missing Response Variables ⋮ Probability density estimation with data missing at random when covariables are present ⋮ Strong uniform consistency results of the weighted average of conditional artificial data points ⋮ Robust nonparametric estimation with missing data ⋮ Semiparametric Double Balancing Score Estimation for Incomplete Data With Ignorable Missingness ⋮ Estimation of the marginal location under a partially linear model with missing responses ⋮ Targeted smoothing parameter selection for estimating average causal effects ⋮ A nonparametric feature screening method for ultrahigh-dimensional missing response ⋮ A propensity score adjustment for multiple group structural equation modeling ⋮ Likelihood-based imputation inference for mean functionals in the presence of missing responses ⋮ Empirical likelihood confidence bands for distribution functions with missing responses ⋮ Handling estimating equation with nonignorably missing data based on SIR algorithm ⋮ Data-driven local bandwidth selection for additive models with missing data ⋮ Jackknife empirical likelihood inference with regression imputation and survey data ⋮ M-Estimators Based on Inverse Probability Weighted Estimating Equations with Response Missing at Random ⋮ Nonparametric estimation of multivariate density with direct and auxiliary data and application ⋮ Plug-in marginal estimation under a general regression model with missing responses and covariates ⋮ Nonparametric regression with responses missing at random ⋮ A nonlinear pseudo-hyperbolic system ⋮ Estimation in partially linear models with missing responses at random ⋮ Empirical likelihood for a partially linear model with covariate data missing at random ⋮ Joint sufficient dimension reduction for estimating continuous treatment effect functions ⋮ Estimation for functional partial linear models with missing responses ⋮ Empirical likelihood for estimating equations with missing values ⋮ Semiparametric double robust and efficient estimation for mean functionals with response missing at random ⋮ Asymptotic properties of local polynomial regression with missing data and correlated errors ⋮ Sufficient dimension reduction and instrument search for data with nonignorable nonresponse ⋮ Empirical likelihood inference for mean functionals with nonignorably missing response data ⋮ Doubly robust-type estimation for covariate adjustment in latent variable modeling ⋮ Combining Inverse Probability Weighting and Multiple Imputation to Improve Robustness of Estimation ⋮ Doubly robust multiple imputation using kernel-based techniques ⋮ Empirical Likelihood Confidence Intervals for Response Mean with Data Missing at Random ⋮ Empirical likelihood for partially linear varying-coefficient models with missing response variables and error-prone covariates ⋮ A comparison study of nonparametric imputation methods ⋮ On nonparametric estimation of mean functionals ⋮ Robust estimation of single index models with responses missing at random ⋮ Empirical likelihood of quantile difference with missing response when high-dimensional covariates are present ⋮ Estimation of the mean of the partially linear single-index errors-in-variables model with missing response variables ⋮ Strong consistency rates for the estimators in a heteroscedastic EV model with missing responses ⋮ Jackknifing for partially linear varying-coefficient errors-in-variables model with missing response at random ⋮ Regression imputation in the functional linear model with missing values in the response ⋮ Dimension reduction for kernel-assisted M-estimators with missing response at random ⋮ Efficient estimators for expectations in nonlinear parametric regression models with responses missing at random ⋮ The local linear \(M\)-estimation with missing response data ⋮ Empirical likelihood-based inference under imputation for missing response data ⋮ Estimation of shape constrained additive models with missing response at random ⋮ Nonparametric regression estimation for functional stationary ergodic data with missing at random ⋮ Statistical inference for nonignorable missing-data problems: a selective review ⋮ An equivalence result for moment equations when data are missing at random ⋮ Semiparametric Fractional Imputation Using Gaussian Mixture Models for Handling Multivariate Missing Data ⋮ Dimension-reduced empirical likelihood estimation and inference for M-estimators with nonignorable nonresponse ⋮ Regression model for surrogate data in high dimensional statistics ⋮ Estimation for nonignorable missing response or covariate using semi-parametric quantile regression imputation and a parametric response probability model ⋮ On distance based goodness of fit tests for missing data when missing occurs at random ⋮ Order-Restricted Inference for Means with Missing Values ⋮ Statistical inference using regularized M-estimation in the reproducing kernel Hilbert space for handling missing data ⋮ k‐Nearest neighbors local linear regression for functional and missing data at random ⋮ Estimation in nonparametric functional-on-functional models with surrogate responses ⋮ Identifiability and estimation of two-sample data with nonignorable missing response ⋮ Change point estimation in regression model with response missing at random ⋮ Quantile Regression for Nonignorable Missing Data with Its Application of Analyzing Electronic Medical Records ⋮ Recent Developments in Dealing with Item Non‐response in Surveys: A Critical Review ⋮ Curve fitting and jump detection on nonparametric regression with missing data ⋮ FDA: theoretical and practical efficiency of the local linear estimation based on the kNN smoothing of the conditional distribution when there are missing data ⋮ Unnamed Item ⋮ Nonparametric regression with responses missing at random and the scale depending on auxiliary covariates ⋮ Empirical likelihood inference for partial functional linear model with missing responses ⋮ Asymptotic Properties of the Semi-Parametric Estimators of the Conditional Density for Functional Data in the Single Index Model with Missing Data at Random ⋮ Goodness-of-fit tests for linear regression models with missing response data ⋮ Empirical Likelihood in a Semi-Parametric Model for Missing Response Data ⋮ Strong consistency rates of estimators in semi-parametric errors-in-variables model with missing responses
