Graphical modelling and partial characteristics for multitype and multivariate-marked spatio-temporal point processes
comunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7037
comunitat-uji-handle3:10234/8635
comunitat-uji-handle4:
INVESTIGACIONMetadatos
Título
Graphical modelling and partial characteristics for multitype and multivariate-marked spatio-temporal point processesFecha de publicación
2021-04Editor
ElsevierISSN
0167-9473Cita bibliográfica
Eckardt, M., González, J. A., & Mateu, J. (2021). Graphical modelling and partial characteristics for multitype and multivariate-marked spatio-temporal point processes. Computational Statistics & Data Analysis, 156, 107139Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://www.sciencedirect.com/science/article/pii/S0167947320302309Versión
info:eu-repo/semantics/submittedVersionPalabras clave / Materias
Resumen
A method for dealing with multivariate analysis of marked spatio-temporal point processes is presented by introducing different partial point characteristics, and by extending the spatial dependence graph model ... [+]
A method for dealing with multivariate analysis of marked spatio-temporal point processes is presented by introducing different partial point characteristics, and by extending the spatial dependence graph model formalism. The approach yields a unified framework for different types of spatio-temporal data, including both, purely qualitatively (multivariate) cases and multivariate cases with additional quantitative marks. The proposed graphical model is defined through partial spectral density characteristics; it is highly computationally efficient and reflects the conditional similarity amongst sets of spatio-temporal sub-processes of either points or marked points with identical discrete marks. Two applications, on crime and forestry data, are presented. [-]
Publicado en
Computational Statistics & Data Analysis, 2021, vol. 156Entidad financiadora
Universitat Jaume I | Ministerio de Educación y Ciencia
Código del proyecto o subvención
UJI-B2018-04 | MTM2016-78917-R
Derechos de acceso
Copyright © Elsevier B.V.
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info:eu-repo/semantics/openAccess
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info:eu-repo/semantics/openAccess
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