Modeling spatial anisotropy via regression with partial differential regularization

DOI10.1016/j.jmva.2018.03.014zbMath1403.62056OpenAlexW2797671262MaRDI QIDQ1661326

Michelle Carey, James O. Ramsay, Laura M. Sangalli, Mara S. Bernardi

Publication date: 16 August 2018

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/11311/1059541

zbMATH Keywords

finite elementsfunctional data analysispenalized regressionparameter cascading

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Nonparametric regression and quantile regression (62G08) Applications of statistics to environmental and related topics (62P12) Generalized linear models (logistic models) (62J12)

Related Items (7)

Some first results on the consistency of spatial regression with partial differential equation regularization ⋮ Nonparametric tests for semiparametric regression models ⋮ Spatial Regression With Partial Differential Equation Regularisation ⋮ Modeling spatially dependent functional data via regression with differential regularization ⋮ On functional data analysis and related topics ⋮ Some first inferential tools for spatial regression with differential regularization ⋮ Inference for spatial regression models with functional response using a permutational approach

Uses Software

• Gstat
• geoR
• gss
• fields
• RandomFields
• gstat
• fdaPDE
• geostatsp

Cites Work

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• Soap Film Smoothing
• Spline Smoothing over Difficult Regions
• Parameter Estimation for Differential Equations: a Generalized Smoothing Approach
• Linear Mixed-Effects Modeling by Parameter Cascading
• Blood Flow Velocity Field Estimation Via Spatial Regression With PDE Penalization
• Spatial Spline Regression Models

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