Structured Additive Regression for Categorical Space–Time Data: A Mixed Model Approach

DOI10.1111/j.1541-0420.2005.00392.xzbMath1091.62077OpenAlexW2135993243WikidataQ31034480 ScholiaQ31034480MaRDI QIDQ5473213

Ludwig Fahrmeir, Thomas Kneib

Publication date: 20 June 2006

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2005.00392.x

zbMATH Keywords

mixed modelsrestricted maximum likelihoodP-splinesGaussian random fieldscategorical space-time data

Mathematics Subject Classification ID

Random fields; image analysis (62M40) Nonparametric regression and quantile regression (62G08) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to environmental and related topics (62P12) Bayesian inference (62F15)

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Uses Software

• SemiPar
• Fahrmeir

Cites Work

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• Structured Additive Regression for Categorical Space–Time Data: A Mixed Model Approach
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