Listar Dpto. Estadística, Informática y Matemáticas - Estatistika, Informatika eta Matematika Saila [desde mayo 2018 / 2018ko maiatzetik] por autor "Vicente Fuenzalida, Gonzalo"
Mostrando ítems 1-5 de 5
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Bayesian inference in multivariate spatio-temporal areal models using INLA: analysis of gender-based violence in small areas
Vicente Fuenzalida, Gonzalo; Goicoa Mangado, Tomás ; Ugarte Martínez, María Dolores (Springer, 2020) Artículo / ArtikuluaMultivariate models for spatial count data are currently receiving attention in disease mapping to model two or more diseases jointly. They have been thoroughly studied from a theoretical point of view, but their use in ... -
Crime against women in India: unveiling spatial patterns and temporal trends of dowry deaths in the districts of Uttar Pradesh
Vicente Fuenzalida, Gonzalo; Goicoa Mangado, Tomás ; Fernández Rasines, Paloma ; Ugarte Martínez, María Dolores (Wiley, 2020) Artículo / ArtikuluaCrimes against women in India have been continuously increasing lately as reported by the National Crime Records Bureau. Gender-based violence has become a serious issue to such an extent that it has been catalogued as a ... -
High-dimensional order-free multivariate spatial disease mapping
Vicente Fuenzalida, Gonzalo; Adin Urtasun, Aritz ; Goicoa Mangado, Tomás; Ugarte Martínez, María Dolores (Springer, 2023) Artículo / ArtikuluaDespite the amount of research on disease mapping in recent years, the use of multivariate models for areal spatial data remains limited due to difficulties in implementation and computational burden. These problems are ... -
Multivariate Bayesian spatio-temporal P-spline models to analyze crimes against women
Vicente Fuenzalida, Gonzalo; Goicoa Mangado, Tomás; Ugarte Martínez, María Dolores (Oxford University Press, 2021) Artículo / ArtikuluaUnivariate spatio-temporal models for areal count data have received great attention in recent years for estimating risks. However, models for studying multivariate responses are less commonly used mainly due to the ... -
Univariate and multivariate spatio-temporal areal models to study crimes against women
Spatio-temporal models for areal data have been extensively applied in epidemiology and public health to study geographical and temporal patterns of incidence or mortality of several diseases, mainly cancer. The utility ...