Jorge Mateu

发表

Modelling spatial clustering through point processes: a computational point of view

J. A. Lopez, Jorge Mateu, 2019 .

Adaptation of linguistic laws to ecological models

Jorge Mateu, P. Sastre-Vázquez, Josep Lluis Usó-Domènech, 2000 .

A weighted composite likelihood approach for space-time data

Jorge Mateu, Emilio Porcu, M Bevilacqua, 2007 .

Advances in spatial functional statistics

Jorge Mateu, Elvira Romano, J. Mateu, 2016, Stochastic Environmental Research and Risk Assessment.

Modelling residuals dependence in dynamic life tables: A geostatistical approach

Jorge Mateu, Ana Debón, Emilio Porcu, 2008, Comput. Stat. Data Anal..

Spatio-Temporal Design: Advances in Efficient Data Acquisition

Jorge Mateu, Werner G. Müller, J. Mateu, 2012 .

Spatial pattern modelling of wildfires in Catalonia, Spain 2004-2008

Jorge Mateu, Laura Serra, Pablo Juan, 2013, Environ. Model. Softw..

Second‐order analysis of anisotropic spatiotemporal point process data

Jorge Mateu, C. Comas, Francisco J. Rodríguez-Cortés, 2015 .

A semiparametric spatiotemporal Hawkes‐type point process model with periodic background for crime data

Jorge Mateu, Jiancang Zhuang, J. Mateu, 2018, Journal of the Royal Statistical Society: Series A (Statistics in Society).

Graphical modelling of multivariate spatial point processes with continuous marks

Jorge Mateu, Matthias Eckardt, J. Mateu, 2016, 1609.08641.

Local indicators of spatio-temporal association: LISTA functions

Jorge Mateu, F. J. Rodriguez Cortes, M. Ghorbani, 2014 .

Spatial point process modelling and its applications

Jorge Mateu, Dietrich Stoyan, Radu Stoica, 2004 .

Statistics for spatial functional data

Jorge Mateu, C. Comas, Pedro Francisco Delicado Useros, 2008 .

A composite likelihood approach for space-time data

Jorge Mateu, Carlo Gaetan, Moreno Bevilacqua, 2007 .

Model comparison and selection for stationary space-time models

Jorge Mateu, F. Martinez, F. Montes, 2007, Comput. Stat. Data Anal..

Most relevant proofs (Chapter 7)

Jorge Mateu, Gema Fernández-Avilés, José-María Montero, 2015 .

ABC Shadow algorithm: a tool for statistical analysis of spatial patterns

Jorge Mateu, Anne Philippe, Pablo Gregori, 2015, Stat. Comput..

Spatio-Temporal Prediction of Baltimore Crime Events Using CLSTM Neural Networks

Jorge Mateu, Billy Peralta, Nicolás Esquivel, 2020, IEEE Access.

Quasi-arithmetic means of covariance functions with potential applications to space-time data

Jorge Mateu, Emilio Porcu, George Christakos, 2006, J. Multivar. Anal..

A review of spatial statistics selection software

Jorge Mateu, J. L. Uso, 1970, ICSE 1996.

Outlier Detection for Geostatistical Functional Data: An Application to Sensor Data

Jorge Mateu, Elvira Romano, 2013, Classification and Data Mining.

Weighted composite likelihood-based tests for space-time separability of covariance functions

H. Zhang, Jorge Mateu, Emilio Porcu, 2010, Stat. Comput..

On Random and Gibbsian Particle Motions for Point Processes Evolving in Space and Time

Jorge Mateu, Carlos Comas, 2008, Commun. Stat. Simul. Comput..

Modelling Forest Dynamics: A Perspective from Point Process Methods

Jorge Mateu, Carlos Comas, J. Mateu, 2007, Biometrical journal. Biometrische Zeitschrift.

geofd: An R Package for Function-Valued

Jorge Mateu, Pedro Delicado, Ramón Giraldo, 2012 .

Analysis of variance for spatially correlated functional data: Application to brain data

Jorge Mateu, Jeimy-Paola Aristizabal, Ramón Giraldo, 2019, Spatial Statistics.

Comments on: A general science-based framework for dynamical spatio-temporal models

Jorge Mateu, J. Mateu, 2010 .

Mapping the Quality of Life Experience in Alfama: A Case Study in Lisbon, Portugal

Jorge Mateu, Pedro Cabral, Pearl May dela Cruz, 2011, ICCSA.

Analyzing Car Thefts and Recoveries with Connections to Modeling Origin-Destination Point Patterns

Jorge Mateu, Alan E Gelfand, Shinichiro Shirota, 2017 .

Case Studies in Spatial Point Process Modeling

Jorge Mateu, Dietrich Stoyan, Radu Stoica, 2006 .

Geostatistical Analysis Through Spectral Techniques: Some Words of Caution

Jorge Mateu, Emilio Porcu, Pablo Juan, 2007, Commun. Stat. Simul. Comput..

Point Patterns Occurring on Complex Structures in Space and Space-Time: An Alternative Network Approach

Jorge Mateu, Matthias Eckardt, J. Mateu, 2016, 1607.06288.

Discussion of the paper “analysis of spatio-temporal mobile phone data: a case study in the metropolitan area of Milan”

Jorge Mateu, Orietta Nicolis, 2015, Stat. Methods Appl..

Prediction of spatial functional random processes: comparing functional and spatio-temporal kriging approaches

Jorge Mateu, Johan Strandberg, Sara Sjöstedt de Luna, 2018, Stochastic Environmental Research and Risk Assessment.

Spatio‐temporal stochastic modelling: environmental and health processes

Jorge Mateu, Emilio Porcu, Francisco Montes, 2010 .

Uncertainty and Complementarity Principles in Ecological Models

Jorge Mateu, Josep Lluis Usó-Doménech, Yolanda Villacampa-Esteve, 2000, Cybern. Syst..

A continuous Wavelet-Based Approach to Detect anisotropic Properties in Spatial Point Processes

Jorge Mateu, Roberto D'Ercole, 2013, Int. J. Wavelets Multiresolution Inf. Process..

Optimal sampling for spatial prediction of functional data

Jorge Mateu, Ramón Giraldo, Martha Bohorquez, 2016, Stat. Methods Appl..

Bayesian spatio-temporal prediction of cancer dynamics

Jorge Mateu, Pablo Juan, Iulian T. Vlad, 2015, Comput. Math. Appl..

MEDEA: software development for prediction of Mediterranean forest degraded areas

Jorge Mateu, J. L. Uso, J. A. Lopez, 2000 .

Analysing Multivariate Spatial Point Processes with Continuous Marks: A Graphical Modelling Approach

Jorge Mateu, Matthias Eckardt, J. Mateu, 2018, International Statistical Review.

On the performance of two clustering methods for spatial functional data

Jorge Mateu, Elvira Romano, Ramón Giraldo, 2015 .

Mathematical approach to the concept of environment: Open systems and processes

Jorge Mateu, Josep Lluis Usó-Doménech, Bernard C. Patten, 2002, Int. J. Gen. Syst..

Probability Mapping in Cluster Spatial Processes. Computational and Analytical Solutions Through Copulas

Jorge Mateu, C. Comas, Emilio Porcu, 2019 .

Statistics for spatial functional data: some recent contributions

Jorge Mateu, Pedro Delicado, Carlos Comas, 2009 .

Two Handy Geometric Prediction Methods of Cancer Growth

Jorge Mateu, Iulian T. Vlad, Gual Arnau, 2015 .

Hybrids of Gibbs Point Process Models and Their Implementation

Jorge Mateu, Adrian Baddeley, Rolf Turner, 2013 .

Recent advances to model anisotropic space–time data

Jorge Mateu, Emilio Porcu, Pablo Gregori, 2008, Stat. Methods Appl..

Point-wise Kriging for Spatial Prediction of Functional Data

Jorge Mateu, Pedro Delicado, Ramón Giraldo, 2008 .

Collecting spatio-temporal data

Jorge Mateu, Werner G. Müller, J. Mateu, 2012 .

Some extensions in space-time LGCP: application to earthquake data

Giada Adelfio, Jorge Mateu, Marianna Siino, 2017 .

Pinpointing spatio-temporal interactions in wildfire patterns

Jorge Mateu, Pablo Juan, Marc Saez, 2012, Stochastic Environmental Research and Risk Assessment.

A spatial dependence graph model for multivariate spatial hybrid processes.

Jorge Mateu, Matthias Eckardt, 2019 .

Statistical procedures for spatial point pattern recognition

Jorge Mateu, J. Mateu, 2002 .

Spatio‐temporal classification in point patterns under the presence of clutter

Jorge Mateu, D. Carot, J. Mateu, 2019, Environmetrics.

Cluster spatial point process models for cosmological applications

Jorge Mateu, J. A. López, J. Mateu, 2005, J. Comput. Methods Sci. Eng..

trajectories : Classes and Methods for Trajectory Data

Jorge Mateu, Mohammad Mehdi Moradi, M. Moradi, 2018 .

Second-order and local characteristics of network intensity functions

Jorge Mateu, Matthias Eckardt, 2017 .

Environmental problems: modelling space-time data

Jorge Mateu, Emilio Porcu, José-María Montero, 2009 .

2D Anisotropic Wavelet Entropy with an Application to Earthquakes in Chile

Jorge Mateu, Orietta Nicolis, J. Mateu, 2015, Entropy.

Computational issues for perfect simulation in spatial point patterns

Jorge Mateu, Jordi Artés, José A. López, 2004 .

Substationarity for spatial point processes

Jorge Mateu, Tonglin Zhang, J. Mateu, 2017, J. Multivar. Anal..

Spatial pattern analysis using hybrid models: an application to the Hellenic seismicity

Giada Adelfio, Jorge Mateu, Marcello Chiodi, 2017, Stochastic Environmental Research and Risk Assessment.

Equivalence and orthogonality of Gaussian measures on spheres

Jorge Mateu, Emilio Porcu, Moreno Bevilacqua, 2018, J. Multivar. Anal..

A spatio-temporal Poisson hurdle point process to model wildfires

Jorge Mateu, Pablo Juan, Diego Varga, 2014, Stochastic Environmental Research and Risk Assessment.

Analysis of forest thinning strategies through the development of space–time growth–interaction simulation models

Eric Renshaw, Jorge Mateu, Carlos Comas, 2009 .

Automatic Contour Detection and Functional Prediction of Brain Tumor Boundary

Jorge Mateu, Elvira Romano, Iulian T. Vlad, 2012 .

A simple two-step method for spatio-temporal design-based balanced sampling

Jorge Mateu, Mohsen Mohammadzadeh, Ramin Khavarzadeh, 2018, Stochastic Environmental Research and Risk Assessment.

Modelling of spatial point processes derived from a sequence of auto-Poisson lattice scheme

Jorge Mateu, J. M. Albert, J. C. Pernías, 2002, Environ. Model. Softw..

Disentangling mark/point interaction in marked-point processes

Eric Renshaw, Jorge Mateu, Fuensanta Saura, 2007, Comput. Stat. Data Anal..

ON SOME DESCRIPTIVE AND PREDICTIVE METHODS FOR THE DYNAMICS OF CANCER GROWTH

Jorge Mateu, Elvira Romano, Iulian T. Vlad, 2015 .

Two-way layout factorial experiments of spatial point pattern responses in mineral flotation

Jorge Mateu, Jonatan A. González, Bernardo M. Lagos-Álvarez, 2021, TEST.

Measurement Error Models for Spatial Network Lattice Data: Analysis of Car Crashes in Leeds

Jorge Mateu, Riccardo Borgoni, Andrea Gilardi, 2022 .

A spatial functional count model for heterogeneity analysis in time

Jorge Mateu, María D. Ruiz-Medina, Antoni Torres-Signes, 2020, Stochastic Environmental Research and Risk Assessment.

Modeling accident risk at the road level through zero-inflated negative binomial models: A case study of multiple road networks

Jorge Mateu, Álvaro Briz-Redón, Francisco Montes, 2021 .

Bayesian Effect Selection for Additive Quantile Regression with an Analysis to Air Pollution Thresholds

Jorge Mateu, Nadja Klein, J. Mateu, 2021, 2105.10890.

Spatial Cox processes in an infinite-dimensional framework

Jorge Mateu, María Pilar Frías, A. Torres-Signes, 2021, TEST.

A Bayesian machine learning approach for spatio-temporal prediction of COVID-19 cases

Jorge Mateu, Somnath Chaudhuri, Poshan Niraula, 2021, Stochastic Environmental Research and Risk Assessment.

On Some Statistical Properties of the Spatio-Temporal Product Density

Giada Adelfio, Jorge Mateu, Francisco J. Rodríguez-Cortés, 2021, Revista Colombiana de Estadística.

Graphical modelling and partial characteristics for multitype and multivariate-marked spatio-temporal point processes

Jorge Mateu, Matthias Eckardt, Jonatan A. Gonz'alez, 2020, Comput. Stat. Data Anal..

A hierarchical spatio-temporal model to analyze relative risk variations of COVID-19: a focus on Spain, Italy and Germany

Jorge Mateu, Abdollah Jalilian, 2021, Stochastic Environmental Research and Risk Assessment.

On the trend detection of time-ordered intensity images of point processes on linear networks

Jorge Mateu, Somnath Chaudhuri, M. Mehdi Moradi, 2021, Commun. Stat. Simul. Comput..

Generalised functional additive mixed models with compositional covariates for areal Covid-19 incidence curves (preprint)/ en

Jorge Mateu, Matthias Eckardt, Sonja Greven, 2022, 2201.08362.

Identification of patterns for space-time event networks

Jorge Mateu, Alan Miguel Forero Sanabria, Martha Patricia Bohorquez Castañeda, 2022, Appl. Netw. Sci..

Classification of Events Using Local Pair Correlation Functions for Spatial Point Patterns

Jorge Mateu, Elvira Romano, Francisco J. Rodríguez-Cortés, 2021, Journal of Agricultural, Biological and Environmental Statistics.

Modeling the Influence of Places on Crime Risk Through a Non-Linear Effects Model: a Comparison with Risk Terrain Modeling

Jorge Mateu, Álvaro Briz-Redón, Francisco Montes, 2021, Applied Spatial Analysis and Policy.

ANOVA for Data in Metric Spaces, with Applications to Spatial Point Patterns

Jorge Mateu, Dominic Schuhmacher, Raoul Muller, 2022 .

Non-stationary spatio-temporal point process modeling for high-resolution COVID-19 data

Jorge Mateu, Zheng Dong, Yao Xie, 2021 .

Assessing local differences between the spatio-temporal second-order structure of two point patterns occurring on the same linear network

Giada Adelfio, Jorge Mateu, Nicoletta D'Angelo, 2021 .

A non-separable first-order spatio-temporal intensity for events on linear networks: an application to ambulance interventions

Jorge Mateu, Riccardo Borgoni, Andrea Gilardi, 2021 .

A new class of spatial covariance functions generated by higher-order kernels

Jorge Mateu, Mohammad Ghorbani, J. Mateu, 2021, 2111.07870.

Structural Complexity and Informational Transfer in Spatial Log-Gaussian Cox Processes

Jorge Mateu, José Miguel Angulo, Adriana Medialdea, 2021, Entropy.

Mapping the Intensity Function of a Non-stationary Point Process in Unobserved Areas

Joël Chadoeuf, Jorge Mateu, Jérôme Coville, 2021 .

A note on decoupling of local and global behaviours for the Dagum Random Field

Jorge Mateu, Emilio Porcu, Orietta Nicolis, 2007 .

Kriging with external drift for functional data for air quality monitoring

Jorge Mateu, Rosaria Ignaccolo, Ramón Giraldo, 2014, Stochastic Environmental Research and Risk Assessment.

Spatial threshold exceedance analysis through marked point processes

Jorge Mateu, José M. Angulo, A. E. Madrid, 2012 .

Generative and recognoscitive grammars of ecological models

Yolanda Villacampa, Jorge Mateu, Josep Lluis Usó-Domènech, 1999 .

The Dagum family of isotropic correlation

Jorge Mateu, Christian Berg, Emilio Porcu, 2008 .

Structured network regression for spatial point patterns

Jorge Mateu, Matthias Eckardt, J. Mateu, 2016, 1607.06685.

Adjustment Versus Meaning? Towards A QuanticTheory Of Ecological Models

Yolanda Villacampa, Jorge Mateu, J. L. Uso, 1970 .

Point Pattern Analysis of Spatial Deformation and Blurring Effects on Exceedances

Jorge Mateu, José M. Angulo, A. E. Madrid, 2016 .

Mathematical and statistical formulation of an ecological model with applications

Jorge Mateu, Josep Lluis Usó-Domènech, J. Mateu, 1997 .

A Classification of Sediment Types Based on Statistical Multivariate Techniques

Jorge Mateu, J. Mateu, M. Jordán, 1998 .

New classes of covariance and spectral density functions for spatio-temporal modelling

Jorge Mateu, Emilio Porcu, J. Mateu, 2008 .

Spatio-temporal point process statistics : a review

Jorge Mateu, Francisco J. Rodríguez-Cortés, Ottmar Cronie, 2016 .

A Kalman filter method for estimation and prediction of space–time data with an autoregressive structure

Jorge Mateu, Guillermo Ferreira, Bernardo M. Lagos-Álvarez, 2019 .

Estimating Mark Functions Through Spectral Analysis for Marked Point Patterns

Jorge Mateu, J. Mateu, F. Saura, 2006 .

Methods of Assessing and Achieving Normality Applied to Environmental Data

Jorge Mateu, J. Mateu, 1997, Environmental management.

A kernel‐based method for nonparametric estimation of variograms

Jorge Mateu, Emilio Porcu, Keming Yu, 2007 .

Spatial prediction and kriging

Jorge Mateu, Gema Fernández-Avilés, José-María Montero, 2015 .

The Dagum family of isotropic correlation functions

Jorge Mateu, Christian Berg, Emilio Porcu, 2007, 0705.0456.

The 1970 US draft lottery revisited: a spatial analysis

Jorge Mateu, Francisco Montes, Mario Plaza, 2004 .

A comparison between parametric and non-parametric approaches to the analysis of replicated spatial point patterns

Peter J. Diggle, Helen E. Clough, Jorge Mateu, 2000, Advances in Applied Probability.

Characterising forest spatial structure through inhomogeneous second order characteristics

Jorge Mateu, Timo Pukkala, C. Comas, 2009 .

First- and Second-Order Characteristics of Spatio-Temporal Point Processes on Linear Networks

Jorge Mateu, M. Mehdi Moradi, J. Mateu, 2020 .

Geostatistical Data Versus Point Process Data: Analysis of Second-Order Characteristics

Jorge Mateu, Paulo Justiniano Ribeiro, 1999 .

Distance-Based Methods: Ripley's K function vs. K density function

Jorge Mateu, Vicente Orts, Marta R. Casanova, 2011 .

Simulated annealing and object point processes: Tools for analysis of spatial patterns

Jorge Mateu, Pablo Gregori, J. Mateu, 2005 .

Pseudo-likelihood Inference for Gibbs Processes with Exponential Families through Generalized Linear Models

Jorge Mateu, Francisco Montes, J. Mateu, 2001 .

Discussion on the paper by Spiegelhalter, Sherlaw-Johnson, Bardsley, Blunt, Wood and Grigg

Stephen E. Fienberg, Jan Terje Kvaløy, Jorge Mateu, 2012 .

Modelling spatio-temporal data: A new variogram and covariance structure proposal

Jorge Mateu, Emilio Porcu, Rita Pini, 2007 .

Mixture formulae for shot noise weighted point processes

van Marie-Colette Lieshout, Jorge Mateu, Pablo Gregori, 2004 .

Statistical inference for Gibbs point processes based on field observations

Jorge Mateu, C. Comas, J. Mateu, 2011 .

Continuous Time-Varying Kriging for Spatial Prediction of Functional Data: An Environmental Application

Jorge Mateu, Pedro Delicado, Ramón Giraldo, 2010 .

On potentially negative space time covariances obtained as sum of products of marginal ones

Jorge Mateu, Emilio Porcu, Zoltán Sasvári, 2008 .

Geospatial Analysis of Extreme Weather Events in Nigeria (1985–2015) Using Self-Organizing Maps

Jorge Mateu, Ana Cristina Costa, Roberto Henriques, 2017 .

Mixture‐based modeling for space–time data

Jorge Mateu, Emilio Porcu, J. Mateu, 2007 .

A computer system for prediction of risk in Mediterranean shrublands

Jorge Mateu, Josep Lluis Usó-Domènech, P. Sastre, 1970 .

Covariance functions that are stationary or nonstationary in space and stationary in time

Jorge Mateu, Emilio Porcu, Moreno Bevilacqua, 2007 .

Modelling of the spatio-temporal distribution of rat sightings in an urban environment

Peter J. Diggle, Jorge Mateu, P. Diggle, 2014 .

The spatial pattern of a forest ecosystem

Jorge Mateu, Francisco Montes, J. Mateu, 1998 .

Hierarchical clustering of spatially correlated functional data

Jorge Mateu, Pedro Delicado, Ramón Giraldo, 2012 .

On tree intensity estimation for forest inventories: Some statistical issues

Jorge Mateu, Pedro Delicado, J. Mateu, 2011, Biometrical journal. Biometrische Zeitschrift.

Measuring spatial inhomogeneity at different spatial scales using hybrids of Gibbs point process models

Jorge Mateu, Francisco Montes, Adina Iftimi, 2016, Stochastic Environmental Research and Risk Assessment.

Analysis of multispecies point patterns by using multivariate log‐Gaussian Cox processes

Jorge Mateu, Yongtao Guan, Rasmus Waagepetersen, 2016 .

A universal kriging approach for spatial functional data

Jorge Mateu, Ramón Giraldo, J. Mateu, 2013, Stochastic Environmental Research and Risk Assessment.

Parametric Procedures in the Analysis of Replicated Pairwise Interaction Point Patterns

Jorge Mateu, 2001 .

Kriging for Functional Data

Jorge Mateu, Ramón Giraldo, 2014 .

Optimum design of experiments for statistical inference : discussion

Kalliopi Mylona, Dan Cornford, Byran J. Smucker, 2012 .

Estimating Space and Space-Time Covariance Functions for Large Data Sets: A Weighted Composite Likelihood Approach

Jorge Mateu, Emilio Porcu, Carlo Gaetan, 2012 .

Second-order characteristics of spatial marked processes with applications

Jorge Mateu, J. Mateu, 2000 .

Spatiotemporal modeling and prediction of solar radiation

Jorge Mateu, Ernesto Lopez-Baeza, A. Bodas-Salcedo, 2003 .

Spatial and Spatio-Temporal Geostatistical Modeling and Kriging

Jorge Mateu, Gema Fernández-Avilés, José-María Montero, 2015 .

Spatio-temporal log-Gaussian Cox processes for modelling wildfire occurrence: the case of Catalonia, 1994–2008

Jorge Mateu, Håvard Rue, Pablo Juan, 2014, Environmental and Ecological Statistics.

Multivariate product‐shot‐noise Cox point process models

Jorge Mateu, Yongtao Guan, Rasmus Waagepetersen, 2015, Biometrics.

A second order approach to analyse spatial point patterns with functional marks

Jorge Mateu, Pedro Delicado, C. Comas, 2011 .

La descente et la montée étendues: the spatially d-anisotropic and the spatio-temporal case

Jorge Mateu, Emilio Porcu, Pablo Gregori, 2007 .