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  • Search: subject:"Spatial-temporal dependence"
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Year of publication
Subject
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Regional economics 2 Regionalökonomik 2 Räumliche Interaktion 2 Spatial interaction 2 Autocorrelation 1 Autokorrelation 1 Bayesian Inference 1 Estimation theory 1 Inverted Wishart Distribution 1 Kronecker Product 1 Maximum likelihood estimation 1 Maximum-Likelihood-Schätzung 1 Missing data 1 Regression analysis 1 Regressionsanalyse 1 Räumliche Verteilung 1 Schätztheorie 1 Separable Covariance Matrix 1 Spatial distribution 1 Spatial error model 1 Spatial-Temporal Dependence 1 Spatial-temporal dependence 1 Theorie 1 Theory 1 Weighted least squares estimator 1 Weighted maximum likelihood estimator 1 Weighted network 1 repetition rate 1 spatial panel data 1 spatial temporal dependence 1 spatial-temporal dependence 1
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Online availability
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Free 1 Undetermined 1
Type of publication
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Article 3 Book / Working Paper 1
Type of publication (narrower categories)
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Article in journal 3 Aufsatz in Zeitschrift 3
Language
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English 2 Spanish 1 Undetermined 1
Author
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Chen, Hsin-ping 1 Herrera, Marcos 1 Leorato, Samantha 1 Liu, Jin 1 Mezzetti, Maura 1 Wang, Feifei 1 Wang, Hansheng 1 Zhou, Jing 1
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Institution
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Centro di Studi Internazionali Sull'Economia e la Sviluppo (CEIS), Facoltà di Economia 1
Published in...
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CEIS Research Paper 1 International journal of economic issues : IJEI 1 Journal of business & economic statistics : JBES ; a publication of the American Statistical Association 1 Papeles de economía española 1
Source
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ECONIS (ZBW) 3 RePEc 1
Showing 1 - 4 of 4
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Autoregressive model with spatial dependence and missing data
Zhou, Jing; Liu, Jin; Wang, Feifei; Wang, Hansheng - In: Journal of business & economic statistics : JBES ; a … 40 (2022) 1, pp. 28-34
Persistent link: https://www.econbiz.de/10012804080
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Spatial Panel Data Model with error dependence: a Bayesian Separable Covariance Approach
Leorato, Samantha; Mezzetti, Maura - Centro di Studi Internazionali Sull'Economia e la … - 2015
A hierarchical Bayesian model for spatial panel data is proposed. The idea behind the proposed method is to analyze spatially dependent panel data by means of a separable covariance matrix. Let us indicate the observations as yit, i = 1,...,N regions and t = 1,...,T time, var(y), the covariance...
Persistent link: https://www.econbiz.de/10011249492
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Repetir curso : condicionantes del nivel primario usando datos de panel georreferenciados
Herrera, Marcos - In: Papeles de economía española 152 (2017), pp. 137-153
Persistent link: https://www.econbiz.de/10011890450
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An analysis of spatial temporal data
Chen, Hsin-ping - In: International journal of economic issues : IJEI 12 (2019) 2, pp. 161-173
Persistent link: https://www.econbiz.de/10012432224
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