Matches in SemOpenAlex for { <https://semopenalex.org/work/W4309014316> ?p ?o ?g. }
- W4309014316 endingPage "100715" @default.
- W4309014316 startingPage "100715" @default.
- W4309014316 abstract "Spatio-temporal areal data can be seen as a collection of time series which are spatially correlated according to a specific neighboring structure. Incorporating the temporal and spatial dimension into a statistical model poses challenges regarding the underlying theoretical framework as well as the implementation of efficient computational methods. We propose to include spatio-temporal random effects using a conditional autoregressive prior, where the temporal correlation is modeled through an autoregressive mean decomposition and the spatial correlation by the precision matrix inheriting the neighboring structure. Their joint distribution constitutes a Gaussian Markov random field, whose sparse precision matrix enables the usage of efficient sampling algorithms. We cluster the areal units using a nonparametric prior, thereby learning latent partitions of the areal units. The performance of the model is assessed via an application to study regional unemployment patterns in Italy. When compared to other spatial and spatio-temporal competitors, the proposed model shows more precise estimates and the additional information obtained from the clustering allows for an extended economic interpretation of the unemployment rates of the Italian provinces." @default.
- W4309014316 created "2022-11-20" @default.
- W4309014316 creator A5007651942 @default.
- W4309014316 creator A5043454792 @default.
- W4309014316 creator A5059242812 @default.
- W4309014316 creator A5067202483 @default.
- W4309014316 creator A5091303582 @default.
- W4309014316 date "2022-12-01" @default.
- W4309014316 modified "2023-10-01" @default.
- W4309014316 title "Bayesian modeling and clustering for spatio-temporal areal data: An application to Italian unemployment" @default.
- W4309014316 cites W1686367817 @default.
- W4309014316 cites W1774676273 @default.
- W4309014316 cites W1950629566 @default.
- W4309014316 cites W1966336286 @default.
- W4309014316 cites W1971807270 @default.
- W4309014316 cites W1975493578 @default.
- W4309014316 cites W1986034166 @default.
- W4309014316 cites W1996623543 @default.
- W4309014316 cites W2000032254 @default.
- W4309014316 cites W2004014822 @default.
- W4309014316 cites W2035951977 @default.
- W4309014316 cites W2037360823 @default.
- W4309014316 cites W2045293965 @default.
- W4309014316 cites W2052611179 @default.
- W4309014316 cites W2066076115 @default.
- W4309014316 cites W2069429561 @default.
- W4309014316 cites W2078366700 @default.
- W4309014316 cites W2091797506 @default.
- W4309014316 cites W2130902307 @default.
- W4309014316 cites W2157305458 @default.
- W4309014316 cites W2159482500 @default.
- W4309014316 cites W2166414779 @default.
- W4309014316 cites W2167943787 @default.
- W4309014316 cites W2465473077 @default.
- W4309014316 cites W2756421408 @default.
- W4309014316 cites W2792645041 @default.
- W4309014316 cites W2808929961 @default.
- W4309014316 cites W2962886695 @default.
- W4309014316 cites W2963905597 @default.
- W4309014316 cites W2977603046 @default.
- W4309014316 cites W2979132527 @default.
- W4309014316 cites W3028004801 @default.
- W4309014316 cites W3119781256 @default.
- W4309014316 cites W3122012037 @default.
- W4309014316 cites W3122656015 @default.
- W4309014316 cites W3123162827 @default.
- W4309014316 cites W3161115020 @default.
- W4309014316 cites W3203244463 @default.
- W4309014316 cites W3209916460 @default.
- W4309014316 cites W337688904 @default.
- W4309014316 cites W4226017887 @default.
- W4309014316 doi "https://doi.org/10.1016/j.spasta.2022.100715" @default.
- W4309014316 hasPublicationYear "2022" @default.
- W4309014316 type Work @default.
- W4309014316 citedByCount "2" @default.
- W4309014316 countsByYear W43090143162023 @default.
- W4309014316 crossrefType "journal-article" @default.
- W4309014316 hasAuthorship W4309014316A5007651942 @default.
- W4309014316 hasAuthorship W4309014316A5043454792 @default.
- W4309014316 hasAuthorship W4309014316A5059242812 @default.
- W4309014316 hasAuthorship W4309014316A5067202483 @default.
- W4309014316 hasAuthorship W4309014316A5091303582 @default.
- W4309014316 hasBestOaLocation W43090143161 @default.
- W4309014316 hasConcept C102366305 @default.
- W4309014316 hasConcept C106131492 @default.
- W4309014316 hasConcept C107673813 @default.
- W4309014316 hasConcept C124101348 @default.
- W4309014316 hasConcept C124504099 @default.
- W4309014316 hasConcept C140779682 @default.
- W4309014316 hasConcept C149782125 @default.
- W4309014316 hasConcept C154945302 @default.
- W4309014316 hasConcept C159877910 @default.
- W4309014316 hasConcept C2778045648 @default.
- W4309014316 hasConcept C31972630 @default.
- W4309014316 hasConcept C33923547 @default.
- W4309014316 hasConcept C41008148 @default.
- W4309014316 hasConcept C73555534 @default.
- W4309014316 hasConcept C89600930 @default.
- W4309014316 hasConceptScore W4309014316C102366305 @default.
- W4309014316 hasConceptScore W4309014316C106131492 @default.
- W4309014316 hasConceptScore W4309014316C107673813 @default.
- W4309014316 hasConceptScore W4309014316C124101348 @default.
- W4309014316 hasConceptScore W4309014316C124504099 @default.
- W4309014316 hasConceptScore W4309014316C140779682 @default.
- W4309014316 hasConceptScore W4309014316C149782125 @default.
- W4309014316 hasConceptScore W4309014316C154945302 @default.
- W4309014316 hasConceptScore W4309014316C159877910 @default.
- W4309014316 hasConceptScore W4309014316C2778045648 @default.
- W4309014316 hasConceptScore W4309014316C31972630 @default.
- W4309014316 hasConceptScore W4309014316C33923547 @default.
- W4309014316 hasConceptScore W4309014316C41008148 @default.
- W4309014316 hasConceptScore W4309014316C73555534 @default.
- W4309014316 hasConceptScore W4309014316C89600930 @default.
- W4309014316 hasLocation W43090143161 @default.
- W4309014316 hasLocation W43090143162 @default.
- W4309014316 hasOpenAccess W4309014316 @default.
- W4309014316 hasPrimaryLocation W43090143161 @default.
- W4309014316 hasRelatedWork W1843324721 @default.