Statistical Linguistic Laws in Ecological Models. - Patricia Sastre-Vázquez; Josep Lluis Usó-Domènech; Jorge Mateu 001; Patricia Salvador; Yolanda Villacampa-Esteve (Cybern. Syst., 1999)

Uncertainty and Complementarity Principles in Ecological Models. - Josep Lluis Usó-Domènech; Yolanda Villacampa-Esteve; Jorge Mateu-Mahiques; Patricia Sastre-Vázquez (Cybern. Syst., 2000)

A new methodology for modelling highly structured systems. - M. Cortés; Yolanda Villacampa-Esteve; Jorge Mateu 001; Josep Lluis Usó-Domènech (Environ. Model. Softw., 2000)

Modelling of spatial point processes derived from a sequence of auto-Poisson lattice scheme. - J. M. Albert; Jorge Mateu 001; José C. Pernías (Environ. Model. Softw., 2002)

Mathematical approach to the concept of environment: Open systems and processes. - Josep Lluis Usó-Domènech; Jorge Mateu 001; Bernard C. Patten (Int. J. Gen. Syst., 2002)

Cluster spatial point process models for cosmological applications. - Jorge Mateu 001; J. A. López (J. Comput. Methods Sci. Eng., 2005)

Regular grammars of L(MT): a language for ecological systems modelling (I) - part I. - Josep Lluis Usó-Domènech; Francisco Vives-Macià; Jorge Mateu 001 (Kybernetes, 2006)

Model comparison and selection for stationary space-time models. - Hsin-Cheng Huang; Francisco Martinez; Jorge Mateu 001; Francisco Montes (Comput. Stat. Data Anal., 2007)

Disentangling mark/point interaction in marked-point processes. - Eric Renshaw; Jorge Mateu 001; Fuensanta Saura (Comput. Stat. Data Anal., 2007)

Geostatistical Analysis Through Spectral Techniques: Some Words of Caution. - Jorge Mateu 001; Pablo Juan; Emilio Porcu (Commun. Stat. Simul. Comput., 2007)

Modelling residuals dependence in dynamic life tables: A geostatistical approach. - Ana Debón; Francisco Montes; Jorge Mateu 001; Emilio Porcu; Moreno Bevilacqua (Comput. Stat. Data Anal., 2008)

On Random and Gibbsian Particle Motions for Point Processes Evolving in Space and Time. - Carlos Comas; Jorge Mateu 001 (Commun. Stat. Simul. Comput., 2008)

Recent advances to model anisotropic space-time data. - Jorge Mateu 001; Emilio Porcu; Pablo Gregori (Stat. Methods Appl., 2008)

Quasi-arithmetic means of covariance functions with potential applications to space-time data. - Emilio Porcu; Jorge Mateu 001; George Christakos (J. Multivar. Anal., 2009)

Weighted composite likelihood-based tests for space-time separability of covariance functions. - Moreno Bevilacqua; Jorge Mateu 001; Emilio Porcu; H. Zhang; A. Zini (Stat. Comput., 2010)

Mapping the Quality of Life Experience in Alfama: A Case Study in Lisbon, Portugal. - Pearl May dela Cruz; Pedro Cabral; Jorge Mateu 001 (ICCSA (1), 2011)

Spatial pattern modelling of wildfires in Catalonia, Spain 2004-2008. - Laura Serra; Pablo Juan; Diego Varga; Jorge Mateu 001; Marc Saez (Environ. Model. Softw., 2013)

A continuous Wavelet-Based Approach to Detect anisotropic Properties in Spatial Point Processes. - Roberto D'Ercole; Jorge Mateu 001 (Int. J. Wavelets Multiresolution Inf. Process., 2013)

Outlier Detection for Geostatistical Functional Data: An Application to Sensor Data. - Elvira Romano; Jorge Mateu 001 (Classification and Data Mining, 2013)

A wavelet-based approach to quantify the anisotropy degree of spatial random point configurations. - Roberto D'Ercole; Jorge Mateu 001 (Int. J. Wavelets Multiresolution Inf. Process., 2014)

Bayesian spatio-temporal prediction of cancer dynamics. - Iulian Teodor Vlad; Pablo Juan; Jorge Mateu 001 (Comput. Math. Appl., 2015)

2D Anisotropic Wavelet Entropy with an Application to Earthquakes in Chile. - Orietta Nicolis; Jorge Mateu 001 (Entropy, 2015)

Discussion of the paper "analysis of spatio-temporal mobile phone data: a case study in the metropolitan area of Milan". - Orietta Nicolis; Jorge Mateu 001 (Stat. Methods Appl., 2015)

Optimal sampling for spatial prediction of functional data. - Martha Bohorquez; Ramón H. Giraldo; Jorge Mateu 001 (Stat. Methods Appl., 2016)

ABC Shadow algorithm: a tool for statistical analysis of spatial patterns. - Radu S. Stoica; Anne Philippe; Pablo Gregori; Jorge Mateu 001 (Stat. Comput., 2017)

Equivalence and orthogonality of Gaussian measures on spheres. - Ahmed Arafat; Emilio Porcu; Moreno Bevilacqua; Jorge Mateu 001 (J. Multivar. Anal., 2018)

Substationarity for spatial point processes. - Tonglin Zhang; Jorge Mateu 001 (J. Multivar. Anal., 2019)

Resample-smoothing of Voronoi intensity estimators. - M. Mehdi Moradi; Ottmar Cronie; Ege Rubak; Raphaël Lachièze-Rey; Jorge Mateu 001; Adrian J. Baddeley (Stat. Comput., 2019)

Spatio-Temporal Prediction of Baltimore Crime Events Using CLSTM Neural Networks. - Nicolás Esquivel; Orietta Nicolis; Billy Peralta; Jorge Mateu 001 (IEEE Access, 2020)

Wavelet-Based Entropy Measures to Characterize Two-Dimensional Fractional Brownian Fields. - Orietta Nicolis; Jorge Mateu 001; Javier E. Contreras-Reyes (Entropy, 2020)

Inhomogeneous higher-order summary statistics for point processes on linear networks. - Ottmar Cronie; M. Mehdi Moradi; Jorge Mateu 001 (Stat. Comput., 2020)

Metrics and barycenters for point pattern data. - Raoul Müller; Dominic Schuhmacher; Jorge Mateu 001 (Stat. Comput., 2020)

Graphical modelling and partial characteristics for multitype and multivariate-marked spatio-temporal point processes. - Matthias Eckardt; Jonatan A. González; Jorge Mateu 001 (Comput. Stat. Data Anal., 2021)

Structural Complexity and Informational Transfer in Spatial Log-Gaussian Cox Processes. - Adriana Medialdea; José Miguel Angulo; Jorge Mateu 001 (Entropy, 2021)

Identification of patterns for space-time event networks. - Alan Miguel Forero Sanabria; Martha Patricia Bohorquez Castañeda; Rafael Ricardo Rentería Ramos; Jorge Mateu 001 (Appl. Netw. Sci., 2022)

A Spatially Correlated Model with Generalized Autoregressive Conditionally Heteroskedastic Structure for Counts of Crimes. - Isabel Escudero; José Miguel Angulo; Jorge Mateu 001 (Entropy, 2022)

NeuroNorm: An R package to standardize multiple structural MRI. - David Payares-Garcia; Jorge Mateu 001; Wiebke Schick (Neurocomputing, 2023)

Assessing similarities between spatial point patterns with a Siamese neural network discriminant model. - Abdullah H. Jalilian; Jorge Mateu 001 (Adv. Data Anal. Classif., 2023)

Integrating spatial dependence into functional clustering of NDVI in the Ecuadorian Andes. - Jeysson Chuquin; Alexandra Maigua; Miguel Flores; Jorge Mateu 001; Sandra Torres; Xavier Zapata-Ríos (Qual. Reliab. Eng. Int., 2023)

Locally weighted minimum contrast estimation for spatio-temporal log-Gaussian Cox processes. - Nicoletta D'Angelo; Giada Adelfio; Jorge Mateu 001 (Comput. Stat. Data Anal., 2023)

On the trend detection of time-ordered intensity images of point processes on linear networks. - Somnath Chaudhuri; M. Mehdi Moradi; Jorge Mateu 001 (Commun. Stat. Simul. Comput., 2023)

Testing similarity between first-order intensities of spatial point processes. A comparative study. - Isabel Fuentes-Santos; Wenceslao González-Manteiga; Jorge Mateu 001 (Commun. Stat. Simul. Comput., 2023)

Local Inhomogeneous Weighted Summary Statistics for Marked Point Processes. - Nicoletta D'Angelo; Giada Adelfio; Jorge Mateu 001; Ottmar Cronie (J. Comput. Graph. Stat., 2024)

Probabilistic Deep Learning for Highly Multivariate Spatio-Temporal Log-Gaussian Cox Processes. - Achmad Choiruddin; Ekky Rino Fajar Sakti; Tintrim Dwi Ary Widhianingsih; Jorge Mateu 001; Kartika Fithriasari (IEEE Access, 2025)

Variable selection for spatio-temporal conditionally Poisson point processes. - Achmad Choiruddin; Jonatan A. González; Jorge Mateu 001; Alwan Fadlurohman; Rasmus Waagepetersen (Comput. Stat. Data Anal., 2025)

A dynamical mathematical model for crime evolution based on a compartmental system with interactions. - Julia Calatayud; Marc Jornet; Jorge Mateu 001 (Int. J. Comput. Math., 2025)

A nonparametric test of independence between the second-order structure of point patterns and covariates. - Jonatan A. González; Jirí Dvorák; Tomás Mrkvicka; Jorge Mateu 001 (Stat. Comput., 2025)