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dc.contributor.advisorRue, Håvard
dc.contributor.advisorSimpson, Daniel Peter
dc.contributor.authorKrainski, Elias Teixeira
dc.date.accessioned2018-06-04T12:32:29Z
dc.date.available2018-06-04T12:32:29Z
dc.date.issued2018
dc.identifier.isbn978-82-326-2977-0
dc.identifier.issn1503-8181
dc.identifier.urihttp://hdl.handle.net/11250/2500188
dc.language.isoengnb_NO
dc.publisherNTNUnb_NO
dc.relation.ispartofseriesDoctoral theses at NTNU;2018:93
dc.relation.haspartElias Teixeira; Riebler, Andrea; Rue, Håvard. A computationally efficient approach to account for intrinsic space-time variation in disease mapping
dc.relation.haspartCosandey-Godin, Aurelie; Krainski, Elias Teixeira; Worm, Boris; Flemming, Joanna Mills. Applying Bayesian spatiotemporal models to fisheries bycatch in the Canadian Arctic. Canadian Journal of Fisheries and Aquatic Sciences 2014 ;Volum 72.(2) https://doi.org/10.1139/cjfas-2014-0159
dc.relation.haspartRibeiro, Ana Isabel; Krainski, Elias Teixeira; Carvalho, Marilia Sá; de Pina, Maria de Fátima. The influence of socioeconomic deprivation, access to healthcare and physical environment on old-age survival in Portugal. Geospatial Health 2017 ;Volum 12.(2) s. 252-263 (CC BY-NC 4.0) https://doi.org/10.4081/gh.2017.581
dc.relation.haspartKrainski, Elias Teixeira. Advanced modeling. Book chapter in: Spatial and Spatio-temporal Bayesian Models with R - INLA. - Is not included due to copyright available at https://doi.org/10.1002/9781118950203
dc.titleStatistical Analysis of Space-time Data: New Models and Applicationsnb_NO
dc.typeDoctoral thesisnb_NO
dc.subject.nsiVDP::Mathematics and natural science: 400::Mathematics: 410nb_NO


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