Listar MAT_Articles por autoría "b91a68f5-214b-40a9-96bd-d63c23ee521a"
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A hierarchical spatio-temporal model to analyze relative risk variations of COVID-19: a focus on Spain, Italy and Germany
Jalilian, Abdollah; Mateu, Jorge Springer (2021)The novel coronavirus disease (COVID-19) has spread rapidly across the world in a short period of time and with a heterogeneous pattern. Understanding the underlying temporal and spatial dynamics in the spread of COVID-19 ... -
Analysis of multispecies point patterns by usingmultivariate log-Gaussian Cox processes
Waagepetersen, Rasmus; Guan, Yongtao; Jalilian, Abdollah; Mateu, Jorge Royal Statistical Society (2016)Multivariate log-Gaussian Cox processes are flexible models for multivariate point patterns. However, they have so far been applied in bivariate cases only. We move beyond the bivariate case to model multispecies point ... -
Assessing similarities between spatial point patterns with a Siamese neural network discriminant model
Jalilian, Abdollah; Mateu, Jorge Springer (2023)Identifying structural differences among observed point patterns from several populations is of interest in several applications. We use deep convolutional neural networks and employ a Siamese framework to build a discriminant ... -
Spatial point processes and neural networks: A convenient couple
Mateu, Jorge; Jalilian, Abdollah Elsevier (2022)Different spatial point process models and techniques have been developed in the past decades to facilitate the statistical analysis of spatial point patterns. However, in some cases the spatial point process methodology ...