A model for non-parametric spatially varying regression effects

DOI10.1016/j.csda.2004.08.008zbMath1431.62152OpenAlexW2080943278MaRDI QIDQ959170

Peter Congdon

Publication date: 11 December 2008

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2004.08.008

zbMATH Keywords

mixture modelspatial filteringgeneral additive modelspatially varying regression effects

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Generalized linear models (logistic models) (62J12)

Related Items (7)

Semiparametric regression during 2003--2007 ⋮ Propriety of posterior in Bayesian space varying parameter models with normal data ⋮ Smooth-CAR mixed models for spatial count data ⋮ A Spatial Model for the Needle Losses of Pine-Trees in the Forests of Baden-Württemberg: An Application of Bayesian Structured Additive Regression ⋮ Linking spatial data from different sources: the effects of change of support ⋮ Editorial: Advances in mixture models ⋮ Medical geography: A promising field of application for geostatistics

Uses Software

• MLwiN
• SemiPar
• BayesDA

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Space-varying regression models: specifications and simulation
• Bayesian predictive model comparison via parallel sampling
• Bayesian image restoration, with two applications in spatial statistics (with discussion)
• Bayesian spline-type smoothing in generalized regression models
• Geoadditive Models
• Modelling Accelerated Life Test Data by Using a Bayesian Approach
• A Bayesian Approach to Robust Binary Nonparametric Regression
• Inference for nonconjugate Bayesian Models using the Gibbs sampler
• Model-Based Geostatistics
• Multilevel Modelling of the Geographical Distributions of Diseases
• Conditional Prior Proposals in Dynamic Models
• On Gibbs sampling for state space models
• Semiparametric Regression
• Bayesian mixture of splines for spatially adaptive nonparametric regression
• Air Pollution and Mortality
• Predictive Variable Selection in Generalized Linear Models
• Spatial Modeling With Spatially Varying Coefficient Processes
• Semiparametric Estimation of Brand Choice Behavior
• Bayesian Measures of Model Complexity and Fit
• Applied Bayesian Modelling

This page was built for publication: A model for non-parametric spatially varying regression effects