Gaussian Markov random field spatial models in GAMLSS

DOI10.1080/02664763.2016.1269728OpenAlexW2567104573MaRDI QIDQ5139094

Audrey H. M. A. Cysneiros, Robert A. Rigby, Unnamed Author, Miguel A. Uribe-Opazo, Fernanda De Bastiani

Publication date: 7 December 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: http://repository.londonmet.ac.uk/4823/1/Gaussian%20Markov%20random%20field%20spatial%20models%20in%20GAMLSS.pdf.pdf

zbMATH Keywords

random effectsintrinsic autoregressive modelflexible regressiondiscrete spatial analysisrent data

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Graphical methods in statistics (62A09)

Related Items (2)

A new continuous distribution on the unit interval applied to modelling the points ratio of football teams ⋮ A new semiparametric Weibull cure rate model: fitting different behaviors within GAMLSS

Uses Software

• R
• GMRFLib
• GAMLSS
• Worm plot
• spBayes
• gamair
• MIM
• gamlss.spatial

Cites Work

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• Beyond mean regression
• Discussion: A comparison of GAMLSS with quantile regression
• A Comparison of Parametric and Nonparametric Methods for Normalising cDNA Microarray Data
• Modelling skewness and kurtosis with the BCPE density in GAMLSS
• On the distinction between the conditional probability and the joint probability approaches in the specification of nearest-neighbour systems
• Generalized Additive Models for Location, Scale and Shape

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