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ORCIDJorge Mateu 0001
Person information
- affiliation: Jaume I University, Castellón de la Plana, Spain
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2020 – today
- 2024
[j41]Nicoletta D'Angelo
, Giada Adelfio, Jorge Mateu, Ottmar Cronie:
Local Inhomogeneous Weighted Summary Statistics for Marked Point Processes. J. Comput. Graph. Stat. 33(2): 588-602 (2024)- 2023
- [j40]Abdullah H. Jalilian, Jorge Mateu:
Assessing similarities between spatial point patterns with a Siamese neural network discriminant model. Adv. Data Anal. Classif. 17(1): 21-42 (2023) - [j39]Nicoletta D'Angelo, Giada Adelfio, Jorge Mateu:
Locally weighted minimum contrast estimation for spatio-temporal log-Gaussian Cox processes. Comput. Stat. Data Anal. 180: 107679 (2023) - [j38]Somnath Chaudhuri, M. Mehdi Moradi, Jorge Mateu:
On the trend detection of time-ordered intensity images of point processes on linear networks. Commun. Stat. Simul. Comput. 52(4): 1318-1330 (2023) - [j37]Isabel Fuentes-Santos, Wenceslao González-Manteiga, Jorge Mateu:
Testing similarity between first-order intensities of spatial point processes. A comparative study. Commun. Stat. Simul. Comput. 52(5): 2210-2230 (2023) - [j36]David Payares-Garcia, Jorge Mateu, Wiebke Schick:
NeuroNorm: An R package to standardize multiple structural MRI. Neurocomputing 550: 126493 (2023) - [j35]Jeysson Chuquin, Alexandra Maigua, Miguel Flores, Jorge Mateu, Sandra Torres, Xavier Zapata-Ríos:
Integrating spatial dependence into functional clustering of NDVI in the Ecuadorian Andes. Qual. Reliab. Eng. Int. 39(2): 670-684 (2023) - 2022
- [j34]Alan Miguel Forero Sanabria, Martha Patricia Bohorquez Castañeda, Rafael Ricardo Rentería Ramos, Jorge Mateu:
Identification of patterns for space-time event networks. Appl. Netw. Sci. 7(1): 1-24 (2022) - [j33]Isabel Escudero, José Miguel Angulo, Jorge Mateu:
A Spatially Correlated Model with Generalized Autoregressive Conditionally Heteroskedastic Structure for Counts of Crimes. Entropy 24(7): 892 (2022) - 2021
- [j32]Matthias Eckardt, Jonatan A. González, Jorge Mateu:
Graphical modelling and partial characteristics for multitype and multivariate-marked spatio-temporal point processes. Comput. Stat. Data Anal. 156: 107139 (2021) - [j31]Adriana Medialdea, José Miguel Angulo, Jorge Mateu:
Structural Complexity and Informational Transfer in Spatial Log-Gaussian Cox Processes. Entropy 23(9): 1135 (2021) - 2020
- [j30]Nicolás Esquivel, Orietta Nicolis, Billy Peralta, Jorge Mateu:
Spatio-Temporal Prediction of Baltimore Crime Events Using CLSTM Neural Networks. IEEE Access 8: 209101-209112 (2020) - [j29]Orietta Nicolis, Jorge Mateu, Javier E. Contreras-Reyes:
Wavelet-Based Entropy Measures to Characterize Two-Dimensional Fractional Brownian Fields. Entropy 22(2): 196 (2020) - [j28]Raoul Müller, Dominic Schuhmacher, Jorge Mateu:
Metrics and barycenters for point pattern data. Stat. Comput. 30(4): 953-972 (2020) - [j27]Ottmar Cronie, M. Mehdi Moradi, Jorge Mateu:
Inhomogeneous higher-order summary statistics for point processes on linear networks. Stat. Comput. 30(5): 1221-1239 (2020)
2010 – 2019
- 2019
- [j26]Tonglin Zhang, Jorge Mateu:
Substationarity for spatial point processes. J. Multivar. Anal. 171: 22-36 (2019) - [j25]M. Mehdi Moradi, Ottmar Cronie, Ege Rubak, Raphaël Lachièze-Rey, Jorge Mateu, Adrian J. Baddeley:
Resample-smoothing of Voronoi intensity estimators. Stat. Comput. 29(5): 995-1010 (2019) - 2018
- [j24]Ahmed Arafat, Emilio Porcu, Moreno Bevilacqua, Jorge Mateu:
Equivalence and orthogonality of Gaussian measures on spheres. J. Multivar. Anal. 167: 306-318 (2018) - 2017
- [j23]Radu S. Stoica, Anne Philippe, Pablo Gregori, Jorge Mateu:
ABC Shadow algorithm: a tool for statistical analysis of spatial patterns. Stat. Comput. 27(5): 1225-1238 (2017) - 2016
- [j22]Martha Bohorquez, Ramón H. Giraldo, Jorge Mateu:
Optimal sampling for spatial prediction of functional data. Stat. Methods Appl. 25(1): 39-54 (2016) - 2015
- [j21]Iulian Teodor Vlad, Pablo Juan, Jorge Mateu:
Bayesian spatio-temporal prediction of cancer dynamics. Comput. Math. Appl. 70(5): 857-868 (2015) - [j20]Orietta Nicolis, Jorge Mateu:
2D Anisotropic Wavelet Entropy with an Application to Earthquakes in Chile. Entropy 17(6): 4155-4172 (2015) - [j19]Orietta Nicolis, Jorge Mateu:
Discussion of the paper "analysis of spatio-temporal mobile phone data: a case study in the metropolitan area of Milan". Stat. Methods Appl. 24(2): 315-319 (2015) - 2014
- [j18]Roberto D'Ercole, Jorge Mateu:
A wavelet-based approach to quantify the anisotropy degree of spatial random point configurations. Int. J. Wavelets Multiresolution Inf. Process. 12(6) (2014) - 2013
- [j17]Laura Serra, Pablo Juan, Diego Varga, Jorge Mateu, Marc Saez:
Spatial pattern modelling of wildfires in Catalonia, Spain 2004-2008. Environ. Model. Softw. 40: 235-244 (2013) - [j16]Roberto D'Ercole, Jorge Mateu:
A continuous Wavelet-Based Approach to Detect anisotropic Properties in Spatial Point Processes. Int. J. Wavelets Multiresolution Inf. Process. 11(2) (2013) - [p1]Elvira Romano, Jorge Mateu:
Outlier Detection for Geostatistical Functional Data: An Application to Sensor Data. Classification and Data Mining 2013: 131-138 - 2011
- [c1]Pearl May dela Cruz, Pedro Cabral, Jorge Mateu:
Mapping the Quality of Life Experience in Alfama: A Case Study in Lisbon, Portugal. ICCSA (1) 2011: 269-283 - 2010
- [j15]Moreno Bevilacqua, Jorge Mateu, Emilio Porcu, H. Zhang, A. Zini:
Weighted composite likelihood-based tests for space-time separability of covariance functions. Stat. Comput. 20(3): 283-293 (2010)
2000 – 2009
- 2009
- [j14]Emilio Porcu, Jorge Mateu, George Christakos:
Quasi-arithmetic means of covariance functions with potential applications to space-time data. J. Multivar. Anal. 100(8): 1830-1844 (2009) - 2008
- [j13]Ana Debón, Francisco Montes, Jorge Mateu, Emilio Porcu, Moreno Bevilacqua:
Modelling residuals dependence in dynamic life tables: A geostatistical approach. Comput. Stat. Data Anal. 52(6): 3128-3147 (2008) - [j12]Carlos Comas, Jorge Mateu:
On Random and Gibbsian Particle Motions for Point Processes Evolving in Space and Time. Commun. Stat. Simul. Comput. 37(2): 380-395 (2008) - [j11]Jorge Mateu, Emilio Porcu, Pablo Gregori:
Recent advances to model anisotropic space-time data. Stat. Methods Appl. 17(2): 209-223 (2008) - 2007
- [j10]Eric Renshaw, Jorge Mateu, Fuensanta Saura:
Disentangling mark/point interaction in marked-point processes. Comput. Stat. Data Anal. 51(6): 3123-3144 (2007) - [j9]Hsin-Cheng Huang, Francisco Martinez, Jorge Mateu, Francisco Montes:
Model comparison and selection for stationary space-time models. Comput. Stat. Data Anal. 51(9): 4577-4596 (2007) - [j8]Jorge Mateu, Pablo Juan, Emilio Porcu:
Geostatistical Analysis Through Spectral Techniques: Some Words of Caution. Commun. Stat. Simul. Comput. 36(5): 1035-1051 (2007) - 2006
- [j7]Josep Lluis Usó-Domènech, Francisco Vives-Macià, Jorge Mateu:
Regular grammars of L(MT): a language for ecological systems modelling (I) - part I. Kybernetes 35(6): 837-850 (2006) - 2005
- [j6]Jorge Mateu, J. A. López:
Cluster spatial point process models for cosmological applications. J. Comput. Methods Sci. Eng. 5(2): 115-139 (2005) - 2002
- [j5]J. M. Albert, Jorge Mateu, J. C. Pernías:
Modelling of spatial point processes derived from a sequence of auto-Poisson lattice scheme. Environ. Model. Softw. 17(2): 105-123 (2002) - [j4]Josep Lluis Usó-Domènech, Jorge Mateu, Bernard C. Patten:
Mathematical approach to the concept of environment: Open systems and processes. Int. J. Gen. Syst. 31(3): 213-223 (2002) - 2000
- [j3]Josep Lluis Usó-Domènech, Yolanda Villacampa-Esteve, Jorge Mateu-Mahiques, Patricia Sastre-Vázquez:
Uncertainty and Complementarity Principles in Ecological Models. Cybern. Syst. 31(2): 137-159 (2000) - [j2]M. Cortés, Yolanda Villacampa-Esteve, Jorge Mateu, Josep Lluis Usó-Domènech:
A new methodology for modelling highly structured systems. Environ. Model. Softw. 15(5): 461-470 (2000)
1990 – 1999
- 1999
- [j1]Patricia Sastre-Vázquez, Josep Lluis Usó-Domènech, Jorge Mateu, Patricia Salvador, Yolanda Villacampa-Esteve:
Statistical Linguistic Laws in Ecological Models. Cybern. Syst. 30(8): 697-724 (1999)
Coauthor Index
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