Robust estimation of single index models with responses missing at random
From MaRDI portal
Publication:2062377
DOI10.1007/s00362-020-01184-2zbMath1482.62049OpenAlexW3033227198MaRDI QIDQ2062377
Ash Abebe, Huybrechts F. Bindele, Boikanyo Makubate, Masego Otlaadisa
Publication date: 27 December 2021
Published in: Statistical Papers (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00362-020-01184-2
Nonparametric regression and quantile regression (62G08) Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Nonparametric robustness (62G35)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Evading the curse of dimensionality in nonparametric density estimation with simplified vine copulas
- Single-index quantile regression
- Single-index composite quantile regression with heteroscedasticity and general error distributions
- A robust and efficient estimation method for single index models
- Empirical likelihood for density-weighted average derivatives
- The signed-rank estimator for nonlinear regression with responses missing at random
- Hypothesis test on response mean with inequality constraints under data missing when covariables are present
- Kernel regression estimation for incomplete data with applications
- An adaptive-to-model test for parametric single-index models with missing responses
- Quantile regression and its empirical likelihood with missing response at random
- Conditional independence, conditional mixing and conditional association
- Single-index partially functional linear regression model
- Semi-parametric rank regression with missing responses
- Estimation of single index model with missing response at random
- Estimation in partially linear models with missing responses at random
- Semiparametric least squares (SLS) and weighted SLS estimation of single-index models
- Rank statistics under dependent observations and applications to factorial designs
- Multivariate regression analysis of panel data with binary outcomes applied to unemployment data
- Efficiency for heteroscedastic regression with responses missing at random
- General rank-based estimation for regression single index models
- Semiparametric double robust and efficient estimation for mean functionals with response missing at random
- Local linear regression for generalized linear models with missing data.
- Empirical likelihood-based inference under imputation for missing response data
- A cautionary note on the analysis of randomized block designs with a few missing values
- Kernel classification with missing data and the choice of smoothing parameters
- Efficiency transfer for regression models with responses missing at random
- Uniform in bandwidth consistency of kernel-type function estimators
- On semiparametric \(M\)-estimation in single-index regression
- Stochastic-Process Limits
- An Extended Single‐index Model with Missing Response at Random
- A SINGLE-INDEX QUANTILE REGRESSION MODEL AND ITS ESTIMATION
- Correlated Binary Regression with Covariates Specific to Each Binary Observation
- Bounded influence nonlinear signed-rank regression
- Approximation Theorems of Mathematical Statistics
- ASYMPTOTIC DISTRIBUTIONS FOR TWO ESTIMATORS OF THE SINGLE-INDEX MODEL
- Missing Time-Dependent Covariates in Human Immunodeficiency Virus Dynamic Models
- Inference and missing data
- Nonparametric Estimation of Mean Functionals with Data Missing at Random
- Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
- Regression Analysis with Missing Covariate Data Using Estimating Equations
- Direct Semiparametric Estimation of Single-Index Models with Discrete Covariates
- Generalized Partially Linear Single-Index Models
- Weighted Semiparametric Estimation in Regression Analysis With Missing Covariate Data
- Estimating Regression Coefficients by Minimizing the Dispersion of the Residuals
- An Adaptive Estimation of Dimension Reduction Space
- Rank estimation of regression coefficients using iterated reweighted least squares
- Analysis of Semiparametric Regression Models for Repeated Outcomes in the Presence of Missing Data
- Empirical likelihood for single index model with missing covariates at random
- Robust Nonparametric Statistical Methods
- Semiparametric Regression Analysis With Missing Response at Random
This page was built for publication: Robust estimation of single index models with responses missing at random