Listar Institut Universitari de Matemàtiques i Aplicacions de Castelló (IMAC) por autoría "35b774bd-acae-4a91-95bf-8ad1b50b951b"
Mostrando ítems 1-4 de 4
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A review of spatiotemporal models for count data in R packages. A case study of COVID-19 data
Ibáñez Gual, Maria Victoria; Martínez Garcia, marina; Simó, Amelia MDPI (2021-07-01)Spatiotemporal models for count data are required in a wide range of scientific fields, and they have become particularly crucial today because of their ability to analyze COVID-19- related data. The main objective of this ... -
Generalized Linear Models for Geometrical Current predictors. An application to predict garment fit
Barahona-Albiol, Sònia; Centella, P.; Gual-Arnau, Ximo; Ibáñez Gual, Maria Victoria; Simó, Amelia SAGE Publications (2019)The aim of this paper is to model an ordinal response variable in terms of vector-valued functional data included on a vector-valued RKHS. In particular, we focus on the vector-valued RKHS obtained when a geometrical ... -
On using Reproducing Kernel Hilbert Spaces for the analysis of Replicated Spatial Point Processes
Simó, Amelia Elsevier (2023)This paper focuses on the use of the theory of Reproducing Kernel Hilbert Spaces in the statistical analysis of replicated point processes. We show that spatial point processes can be observed as random variables in a ... -
Unsupervised classification of children’s bodies using currents
Barahona, S.; Gual-Arnau, Ximo; Ibáñez Gual, Maria Victoria; Simó, Amelia Springer Verlag (2018-06)Object classification according to their shape and size is of key importance in many scientific fields. This work focuses on the case where the size and shape of an object is characterized by a current. A current is a ...