Empirical likelihood for heteroscedastic partially linear single-index models with growing dimensional data
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Publication:1744028
DOI10.1007/s00184-018-0642-7zbMath1468.62266OpenAlexW2793733591MaRDI QIDQ1744028
Wanrong Liu, Jianglin Fang, Xuewen Lu
Publication date: 16 April 2018
Published in: Metrika (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00184-018-0642-7
heteroscedasticityhigh-dimensional dataempirical likelihoodsemiparametric efficiencypartially linear single-index model
Related Items (3)
Empirical likelihood in single-index quantile regression with high dimensional and missing observations ⋮ Empirical likelihood confidence regions of the parameters in a partially single-index varying-coefficient model ⋮ Quantile regression of partially linear single-index model with missing observations
Cites Work
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- Empirical likelihood ratio confidence regions
- Empirical likelihood for heteroscedastic partially linear models
- Extending the scope of empirical likelihood
- Empirical likelihood for linear models
- Smoothed empirical likelihood confidence intervals for quantiles
- Empirical likelihood and general estimating equations
- Robust regression: Asymptotics, conjectures and Monte Carlo
- Some hypothesis tests for the covariance matrix when the dimension is large compared to the sample size
- Bounds on coverage probabilities of the empirical likelihood ratio confidence regions.
- A dimension reduction based approach for estimation and variable selection in partially linear single-index models with high-dimensional covariates
- Empirical likelihood for partially linear models
- Semiparametric efficient estimation for partially linear single-index models with responses missing at random
- Semi-parametric estimation of partially linear single-index models
- Semiparametric estimation of treatment effect in a pretest-posttest study with missing data (with comments and rejoinder)
- Empirical likelihood for single-index models
- Effects of data dimension on empirical likelihood
- Empirical Likelihood Confidence Regions in a Partially Linear Single-Index Model
- Empirical likelihood ratio confidence intervals for a single functional
- Generalized Partially Linear Single-Index Models
- Empirical likelihood-based inference in linear errors-in-covariables models with validation data
- Penalized Spline Estimation for Partially Linear Single-Index Models
- An Adaptive Estimation of Dimension Reduction Space
- EMPIRICAL LIKELIHOOD FOR COX REGRESSION MODEL UNDER RANDOM CENSORSHIP
- On extended partially linear single-index models
- Doubly Robust and Efficient Estimators for Heteroscedastic Partially Linear Single-Index Models Allowing high Dimensional Covariates
- Efficient semiparametric estimator for heteroscedastic partially linear models
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