2026-07-25T08:58:58Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:18912 2024-03-06T11:02:56Z ddc:004 open_access

Smarter Than Your Average Model - Bayesian Model Averaging as a Spatial Analysis Tool (Short Paper) Brunsdon, Chris Harris, Paul Comber, Alexis Bayesian Varying coefficient regression Spatial statistics Bayesian modelling averaging (BMA) allows the results of analysing competing data models to be combined, and the relative plausibility of the models to be assessed. Here, the potential to apply this approach to spatial statistical models is considered, using an example of spatially varying coefficient modelling applied to data from the 2016 UK referendum on leaving the EU. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Chris Brunsdon and Paul Harris and Alexis Comber 2023 Is Part Of LIPIcs, Volume 277, 12th International Conference on Geographic Information Science (GIScience 2023) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/LIPIcs.GIScience.2023.17 urn:nbn:de:0030-drops-189123 https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GIScience.2023.17 eng https://creativecommons.org/licenses/by/4.0/legalcode