Robust estimators in semiparametric partly linear regression models.
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Publication:1429888
DOI10.1016/j.jspi.2003.06.007zbMath1043.62030OpenAlexW2053090629MaRDI QIDQ1429888
Graciela Boente, Ana M. Bianco
Publication date: 27 May 2004
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jspi.2003.06.007
Nonparametric regression and quantile regression (62G08) Asymptotic distribution theory in statistics (62E20) Nonparametric robustness (62G35) Robustness and adaptive procedures (parametric inference) (62F35) Monte Carlo methods (65C05)
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Cites Work
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- High breakdown-point and high efficiency robust estimates for regression
- Convergence rates for partially splined models
- Convergence rates for parametric components in a partly linear model
- A two-stage spline smoothing method for partially linear models
- Profile likelihood and conditionally parametric models
- Data-driven efficient estimators for a partially linear model
- Robust plug-in bandwidth estimators in nonparametric regression
- Estimation in a semiparametric partially linear errors-in-variables model
- Adaptive estimation in partly linear regression models
- Bivariate tensor-product \(B\)-splines in a partly linear model
- A class of robust and fully efficient regression estimators
- On the asymptotic behavior of one-step estimates in heteroscedastic regression models.
- Asymptotic normality of pseudo-LS estimator for partly linear autoregression models
- Weak convergence and empirical processes. With applications to statistics
- Root-N-Consistent Semiparametric Regression
- High Breakdown-Point Estimates of Regression by Means of the Minimization of an Efficient Scale
- Efficient Bounded-Influence Regression Estimation
- Selection of the splined variables and convergence rates in a partial spline model
- Strong Uniform Convergence Rates for Some Robust Equivariant Nonparametric Regression Estimates for Mixing Processes
- SEMIPARAMETRIC TIME SERIES REGRESSION
- Robust Statistics
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