Jorge Mateu
Orcid: 0000-0002-2868-7604Affiliations:
- Jaume I University, Castellón de la Plana, Spain
According to our database1,
Jorge Mateu
authored at least 47 papers
between 1999 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
-
on www3.uji.es
On csauthors.net:
Bibliography
2025
A nonparametric test of independence between the second-order structure of point patterns and covariates.
Stat. Comput., October, 2025
A dynamical mathematical model for crime evolution based on a compartmental system with interactions.
Int. J. Comput. Math., 2025
Comput. Stat. Data Anal., 2025
Probabilistic Deep Learning for Highly Multivariate Spatio-Temporal Log-Gaussian Cox Processes.
IEEE Access, 2025
2024
J. Comput. Graph. Stat., 2024
2023
Testing similarity between first-order intensities of spatial point processes. A comparative study.
Commun. Stat. Simul. Comput., May, 2023
On the trend detection of time-ordered intensity images of point processes on linear networks.
Commun. Stat. Simul. Comput., April, 2023
Locally weighted minimum contrast estimation for spatio-temporal log-Gaussian Cox processes.
Comput. Stat. Data Anal., April, 2023
Integrating spatial dependence into functional clustering of NDVI in the Ecuadorian Andes.
Qual. Reliab. Eng. Int., March, 2023
Assessing similarities between spatial point patterns with a Siamese neural network discriminant model.
Adv. Data Anal. Classif., March, 2023
2022
A Spatially Correlated Model with Generalized Autoregressive Conditionally Heteroskedastic Structure for Counts of Crimes.
Entropy, 2022
2021
Structural Complexity and Informational Transfer in Spatial Log-Gaussian Cox Processes.
Entropy, 2021
Graphical modelling and partial characteristics for multitype and multivariate-marked spatio-temporal point processes.
Comput. Stat. Data Anal., 2021
2020
Inhomogeneous higher-order summary statistics for point processes on linear networks.
Stat. Comput., 2020
Wavelet-Based Entropy Measures to Characterize Two-Dimensional Fractional Brownian Fields.
Entropy, 2020
IEEE Access, 2020
2019
2018
J. Multivar. Anal., 2018
2017
Stat. Comput., 2017
2016
Stat. Methods Appl., 2016
2015
Discussion of the paper "analysis of spatio-temporal mobile phone data: a case study in the metropolitan area of Milan".
Stat. Methods Appl., 2015
Entropy, 2015
2014
A wavelet-based approach to quantify the anisotropy degree of spatial random point configurations.
Int. J. Wavelets Multiresolution Inf. Process., 2014
2013
Proceedings of the Classification and Data Mining, 2013
A continuous Wavelet-Based Approach to Detect anisotropic Properties in Spatial Point Processes.
Int. J. Wavelets Multiresolution Inf. Process., 2013
Environ. Model. Softw., 2013
2011
Proceedings of the Computational Science and Its Applications - ICCSA 2011, 2011
2010
Weighted composite likelihood-based tests for space-time separability of covariance functions.
Stat. Comput., 2010
2009
Quasi-arithmetic means of covariance functions with potential applications to space-time data.
J. Multivar. Anal., 2009
2008
On Random and Gibbsian Particle Motions for Point Processes Evolving in Space and Time.
Commun. Stat. Simul. Comput., 2008
Comput. Stat. Data Anal., 2008
2007
Commun. Stat. Simul. Comput., 2007
Comput. Stat. Data Anal., 2007
Comput. Stat. Data Anal., 2007
2006
Kybernetes, 2006
2005
J. Comput. Methods Sci. Eng., 2005
2002
Int. J. Gen. Syst., 2002
Modelling of spatial point processes derived from a sequence of auto-Poisson lattice scheme.
Environ. Model. Softw., 2002
2000
Environ. Model. Softw., 2000
1999