?url_ver=Z39.88-2004&rft_id=10.5204%2Fthesis.eprints.112356&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Bayesian+approaches+to+issues+arising+in+spatial+modelling&rft.creator=Duncan%2C+Earl+W.&rft.subject=Spatial&rft.subject=Spatio-temporal&rft.subject=Bayesian&rft.subject=Mixture+model&rft.subject=Label+switching&rft.subject=Cancer&rft.subject=Mammography+screening&rft.subject=Epidemiology&rft.subject=Smoothing&rft.subject=Covariate+space&rft.description=This+thesis+addressed+several+contemporary+issues+arising+in+the+analysis+of+spatial+data+and+the+broader+statistical+methodology.+Two+state-of-the-art+statistical+models+are+developed+for+the+purpose+of+identifying+unusual+trends%2C+a+new+algorithm+to+deal+with+label+switching+is+devised+which+outperforms+existing+solutions%2C+and+new+approaches+to+spatial+smoothing+are+explored.+The+outcomes+from+this+thesis+should+be+of+interest+to+managers+in+the+health+sector%2C+biostatisticians%2C+and+researchers+who+deal+with+spatial+data.&rft.publisher=Queensland+University+of+Technology&rft.date=2017&rft.type=Thesis&rft.format=application%2Fpdf&rft.relation=https%3A%2F%2Feprints.qut.edu.au%2F112356%2F1%2FEarl_Duncan_Thesis.pdf&rft.rights=free_to_read&rft.relation=doi%3A10.5204%2Fthesis.eprints.112356&rft.relation=Duncan%2C+Earl+W.+(2017)+Bayesian+approaches+to+issues+arising+in+spatial+modelling.+PhD+by+Publication%2C+Queensland+University+of+Technology.&rft.id_number=https%3A%2F%2Feprints.qut.edu.au%2F112356%2F&rft.identifier=Science+%26+Engineering+Faculty%3B+School+of+Mathematical+Sciences