Low‐Rank Smoothing Splines on Complicated Domains

DOI10.1111/j.1541-0420.2006.00674.xzbMath1122.62098OpenAlexW2125612218WikidataQ80191152 ScholiaQ80191152MaRDI QIDQ5427419

Haonan Wang, Maria Giovanna Ranalli

Publication date: 20 November 2007

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2006.00674.x

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to environmental and related topics (62P12) Geostatistics (86A32)

Related Items (14)

Sparse Learning and Structure Identification for Ultrahigh-Dimensional Image-on-Scalar Regression ⋮ Some first results on the consistency of spatial regression with partial differential equation regularization ⋮ Spatiotemporal Autoregressive Partially Linear Varying Coefficient Models ⋮ Generalized Spatially Varying Coefficient Models ⋮ Estimating abundance from counts in large data sets of irregularly spaced plots using spatial basis functions ⋮ Spatial autoregressive partially linear varying coefficient models ⋮ Semiparametric regression during 2003--2007 ⋮ Spatial Regression With Partial Differential Equation Regularisation ⋮ Estimation and Inference for Generalized Geoadditive Models ⋮ Some Numerical Test on the Convergence Rates of Regression with Differential Regularization ⋮ Smoothing noisy data for irregular regions using penalized bivariate splines on triangulations ⋮ A Lattice-Based Smoother for Regions With Irregular Boundaries and Holes ⋮ Spatially clustered varying coefficient model ⋮ Recent developments in complex and spatially correlated functional data

Uses Software

• SemiPar
• Algorithm 97

Cites Work

• Unnamed Item
• Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
• Minimax distance designs in two-level factorial experiments
• Geoadditive Models
• Semiparametric Regression
• Mixed-Effects Models in S and S-PLUS
• Likelihood Ratio Tests in Linear Mixed Models with One Variance Component
• Spline Smoothing over Difficult Regions

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