Robust estimation for semi-functional linear regression models
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Publication:830543
DOI10.1016/J.CSDA.2020.107041OpenAlexW3037036111MaRDI QIDQ830543
Graciela Boente, Pablo Vena, Matías Salibián Barrera
Publication date: 7 May 2021
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2006.16156
Related Items (2)
A robust spline approach in partially linear additive models ⋮ Robust penalized estimators for functional linear regression
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Cites Work
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- Modeling and forecasting electricity spot prices: a functional data perspective
- Spline estimators for semi-functional linear model
- High breakdown-point and high efficiency robust estimates for regression
- Robust estimators in semi-functional partial linear regression models
- Sieve M-estimator for a semi-functional linear model
- The dimensionality reduction principle for generalized additive models
- Estimating the dimension of a model
- Robust functional linear regression based on splines
- Nonparametric and semiparametric models.
- Bayesian bandwidth estimation for a semi-functional partial linear regression model with unknown error density
- Robust functional regression based on principal components
- A note on uniform consistency of monotone function estimators
- Semi-functional partial linear regression
- Nonparametric functional data analysis. Theory and practice.
- Functional partial linear model
- Estimation for semi-functional linear regression
- Monotone B-Spline Smoothing
- Estimation in a semiparametric model for longitudinal data with unspecified dependence structure
- Robust Statistics
- A comparison of robust versions of the AIC based on M-, S- and MM-estimators
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