Estimating the parametric component of nonlinear partial spline model
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Publication:943603
DOI10.1016/j.jmva.2008.01.007zbMath1284.62218OpenAlexW2093703039MaRDI QIDQ943603
Publication date: 10 September 2008
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmva.2008.01.007
Estimation in multivariate analysis (62H12) Nonparametric estimation (62G05) Linear inference, regression (62J99)
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Cites Work
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- Linear smoothers and additive models
- Asymptotic integrated mean square error using least squares and bias minimizing splines
- Additive regression and other nonparametric models
- Convergence rates for partially splined models
- Convergence rates for parametric components in a partly linear model
- Asymptotic theory of nonlinear least squares estimation
- Profile likelihood and conditionally parametric models
- Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
- Asymptotic efficient estimation in semiparametric nonlinear regression models
- Statistical inference in single-index and partially nonlinear models
- Data-driven efficient estimators for a partially linear model
- Second-order asymptotic efficiency of PMLE in generalized linear models
- Regression and the Moore-Penrose pseudoinverse
- Curve fitting by polynomial-trigonometric regression
- Asymptotic theory for partly linear models
- The Combination of Population Pharmacokinetic Studies
- Asymptotic Properties of Non-Linear Least Squares Estimators