5 papers
A Review of Spatiotemporal Models for Count Data in R Packages. A Case Study of COVID-19 Data
María Victoria Ibáñez, Marina Martínez-Garcia, Amelia Simó
Spatio-temporal models for count data are required in a wide range of scientific fields and they have become particularly crucial nowadays because of their ability to analyse COVID…
Generalized partially linear models on Riemannian manifolds
Amelia Simó, M. Victoria Ibáñez, Irene Epifanio +1
The generalized partially linear models on Riemannian manifolds are introduced. These models, like ordinary generalized linear models, are a generalization of partially linear mode…
Generalized Linear Models for Geometrical Current predictors. An application to predict garment fit
Sonia Barahona, Pablo Centella, Ximo Gual-Arnau +2
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-val…
Classification of geometrical objects by integrating currents and functional data analysis. An application to a 3D database of Spanish child population
Sonia Barahona, Pablo Centella, Ximo Gual-Arnau +2
This paper focuses on the application of Discriminant Analysis to a set of geometrical objects (bodies) characterized by currents. A current is a relevant mathematical object to mo…
Inhomogeneous K-function for germ-grain models
M. Ángeles Gallego, M. Victoria Ibáñez, Amelia Simó
In this paper, we propose a generalization to germ-grain models of the inhomogeneous K-function of Point Processes. We apply them to a sample of images of peripheral blood smears o…