Jorge Mateu

Universitat Jaume I — Spain

Environmental Science · Physical Sciences

38h-index5.3kcitations485works1.12yr avg
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Research Topics

Soil Geostatistics and Mapping(146), Point processes and geometric inequalities(137), Spatial and Panel Data Analysis(134), Morphological variations and asymmetry(74), Data-Driven Disease Surveillance(46)

Publications482 total

A Quadratic Discriminant Analysis Rule for Spatial Functional Data: Application to EEG Data for Silent Speech Recognition
Journal of Classification·2026Open Access
Misspecification issues between competitive spatio-temporal cluster point processes
Spatial Statistics·2025Open Access
A Fully Non-separable Log-Gaussian Cox Process to Model Forest Fires
Journal of Agricultural Biological and Environmental Statistics·2025
A concordance coefficient for lattice data: An application to poverty indices in Chile
Spatial Statistics·2025
A self-exciting spatio-temporal model with a smooth space-time-varying productivity parameter
AStA Advances in Statistical Analysis·2025Open Access
Spatial Downscaling of Multivariate Disease Risk
2025Open Access
Spatio-temporal intensity estimation for inhomogeneous Poisson point processes on linear networks: A roughness penalty method
Spatial Statistics·2025Open Access
Variable selection for spatio-temporal conditionally Poisson point processes
Computational Statistics & Data Analysis·2025
A nonparametric test of independence between the second-order structure of point patterns and covariates
Statistics and Computing·2025Open Access
A concordance coefficient for lattice data: An application to poverty indices in Chile
arXiv (Cornell University)·2025Open Access
Leveraging cellphone-derived mobility networks to assess Covid-19 travel risk
The Annals of Applied Statistics·2025· 1 cited
A poisson cokriging modeling of mosquito-borne diseases in Colombia
Environmental and Ecological Statistics·2025Open Access
A Spatio-Temporal Dirichlet Process Mixture Model on Linear Networks for Crime Data
arXiv (Cornell University)·2025Open Access
Probabilistic Deep Learning for Highly Multivariate Spatio-Temporal Log-Gaussian Cox Processes
IEEE Access·2025· 1 citedOpen Access
A Point Process Approach for the Classification of Noisy Calcium Imaging Data
Springer proceedings in mathematics & statistics·2025Open Access
Constructed Functional Marks for Spatial Point Process Intensity Estimation
2025
Crime risk assessment through Cox and self-exciting spatio-temporal point processes
Stochastic Environmental Research and Risk Assessment·2024· 3 cited
Function‐Valued Marked Spatial Point Processes on Linear Networks: Application to Urban Cycling Profiles
Stat·2024· 1 citedOpen Access
A doubly stochastic point process approach for spatio-temporal dynamics of crime data
Statistical Modelling·2024
Spatio-Temporal Hawkes Point Processes: A Review
Journal of Agricultural Biological and Environmental Statistics·2024· 8 citedOpen Access
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Frequent Co-authors

Emilio Porcu(8), Ramón Giraldo(7), Juan Pablo Paz(6), Pedro Delicado(4), C. Comas(4), Adrian Baddeley(4), Pablo Gregori(4), Marc Sáez(4), Mehdi Moradi(4), Peter J. Diggle(3), Laura Serra(3), Diego Varga(3), Moreno Bevilacqua(2), Helen E. Clough(2), Francisco J. Rodríguez‐Cortés(2), Ottmar Cronie(2), J. L. Usó(2), Francisco Montes(2), Radu S. Stoica(2), Elvira Romano(2)