Matches in SemOpenAlex for { <https://semopenalex.org/work/W3147984477> ?p ?o ?g. }
- W3147984477 endingPage "545" @default.
- W3147984477 startingPage "545" @default.
- W3147984477 abstract "In spatial data analysis, the prior conditional autoregressive (CAR) model is used to express the spatial dependence on random effects from adjacent regions. This paper provides a new proposed approach regarding the development of the existing normal CAR model into a more flexible, Fernandez–Steel skew normal (FSSN) CAR model. This approach is able to capture spatial random effects that have both symmetrical and asymmetrical patterns. The FSSN CAR model is built on the basis of the normal CAR with an additional skew parameter. The FSSN distribution is able to provide good estimates for symmetry with heavy- or light-tailed and skewed-right and skewed-left data. The effects of this approach are demonstrated by establishing the FSSN distribution and FSSN CAR model in spatial data using Stan language. On the basis of the plot of the estimation results and histogram of the model error, the FSSN CAR model was shown to behave better than both models without a spatial effect and with the normal CAR model. Moreover, the smallest widely applicable information criterion (WAIC) and leave-one-out (LOO) statistical values also validate the model, as FSSN CAR is shown to be the best model used." @default.
- W3147984477 created "2021-04-13" @default.
- W3147984477 creator A5023928934 @default.
- W3147984477 creator A5079662367 @default.
- W3147984477 creator A5091229643 @default.
- W3147984477 date "2021-03-26" @default.
- W3147984477 modified "2023-09-27" @default.
- W3147984477 title "Fernandez–Steel Skew Normal Conditional Autoregressive (FSSN CAR) Model in Stan for Spatial Data" @default.
- W3147984477 cites W1545319692 @default.
- W3147984477 cites W1639275303 @default.
- W3147984477 cites W1898843043 @default.
- W3147984477 cites W2002591317 @default.
- W3147984477 cites W2004014822 @default.
- W3147984477 cites W2044778367 @default.
- W3147984477 cites W2059448777 @default.
- W3147984477 cites W2060182299 @default.
- W3147984477 cites W2061836677 @default.
- W3147984477 cites W2064258708 @default.
- W3147984477 cites W2086795330 @default.
- W3147984477 cites W2096918671 @default.
- W3147984477 cites W2102162967 @default.
- W3147984477 cites W2102360969 @default.
- W3147984477 cites W2104242073 @default.
- W3147984477 cites W2114075052 @default.
- W3147984477 cites W2114220616 @default.
- W3147984477 cites W2146721220 @default.
- W3147984477 cites W2170712385 @default.
- W3147984477 cites W2203714058 @default.
- W3147984477 cites W2414323848 @default.
- W3147984477 cites W2530192738 @default.
- W3147984477 cites W2577537660 @default.
- W3147984477 cites W2616683510 @default.
- W3147984477 cites W2793900496 @default.
- W3147984477 cites W2887699302 @default.
- W3147984477 cites W2896288349 @default.
- W3147984477 cites W2913372705 @default.
- W3147984477 cites W2954040150 @default.
- W3147984477 cites W2962703949 @default.
- W3147984477 cites W2968490943 @default.
- W3147984477 cites W2972588190 @default.
- W3147984477 cites W3003811277 @default.
- W3147984477 cites W3014032959 @default.
- W3147984477 cites W3015647611 @default.
- W3147984477 cites W3023950430 @default.
- W3147984477 cites W3119417624 @default.
- W3147984477 cites W3129756689 @default.
- W3147984477 cites W3134537351 @default.
- W3147984477 cites W2012707696 @default.
- W3147984477 doi "https://doi.org/10.3390/sym13040545" @default.
- W3147984477 hasPublicationYear "2021" @default.
- W3147984477 type Work @default.
- W3147984477 sameAs 3147984477 @default.
- W3147984477 citedByCount "1" @default.
- W3147984477 countsByYear W31479844772021 @default.
- W3147984477 crossrefType "journal-article" @default.
- W3147984477 hasAuthorship W3147984477A5023928934 @default.
- W3147984477 hasAuthorship W3147984477A5079662367 @default.
- W3147984477 hasAuthorship W3147984477A5091229643 @default.
- W3147984477 hasBestOaLocation W31479844771 @default.
- W3147984477 hasConcept C102094743 @default.
- W3147984477 hasConcept C105795698 @default.
- W3147984477 hasConcept C115961682 @default.
- W3147984477 hasConcept C12426560 @default.
- W3147984477 hasConcept C154945302 @default.
- W3147984477 hasConcept C159620131 @default.
- W3147984477 hasConcept C159877910 @default.
- W3147984477 hasConcept C2524010 @default.
- W3147984477 hasConcept C33923547 @default.
- W3147984477 hasConcept C41008148 @default.
- W3147984477 hasConcept C43694697 @default.
- W3147984477 hasConcept C43711488 @default.
- W3147984477 hasConcept C53533937 @default.
- W3147984477 hasConcept C76155785 @default.
- W3147984477 hasConceptScore W3147984477C102094743 @default.
- W3147984477 hasConceptScore W3147984477C105795698 @default.
- W3147984477 hasConceptScore W3147984477C115961682 @default.
- W3147984477 hasConceptScore W3147984477C12426560 @default.
- W3147984477 hasConceptScore W3147984477C154945302 @default.
- W3147984477 hasConceptScore W3147984477C159620131 @default.
- W3147984477 hasConceptScore W3147984477C159877910 @default.
- W3147984477 hasConceptScore W3147984477C2524010 @default.
- W3147984477 hasConceptScore W3147984477C33923547 @default.
- W3147984477 hasConceptScore W3147984477C41008148 @default.
- W3147984477 hasConceptScore W3147984477C43694697 @default.
- W3147984477 hasConceptScore W3147984477C43711488 @default.
- W3147984477 hasConceptScore W3147984477C53533937 @default.
- W3147984477 hasConceptScore W3147984477C76155785 @default.
- W3147984477 hasIssue "4" @default.
- W3147984477 hasLocation W31479844771 @default.
- W3147984477 hasOpenAccess W3147984477 @default.
- W3147984477 hasPrimaryLocation W31479844771 @default.
- W3147984477 hasRelatedWork W1994180819 @default.
- W3147984477 hasRelatedWork W2020151644 @default.
- W3147984477 hasRelatedWork W2021486579 @default.
- W3147984477 hasRelatedWork W2078476610 @default.
- W3147984477 hasRelatedWork W2232596818 @default.
- W3147984477 hasRelatedWork W3007207905 @default.
- W3147984477 hasRelatedWork W3033533071 @default.