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Current Research in Parasitology & Vector-Borne Diseases|September 16, 2024
A brief review and guidance on the spatiotemporal sampling designs for disease vector surveillanceAbdollah Jalilian, Jorge Mateu, Luigi Sedda
Stochastic Environmental Research and Risk Assessment : Research Journal|November 7, 2022
Modeling noisy time-series data of crime with stochastic differential equationsJulia Calatayud, Marc Jornet, Jorge Mateu
Statistics in Medicine|April 8, 2015
Fractal and stochastic geometry inference for breast cancer: a case study with random fractal models and Quermass-interaction processPhilipp Hermann, Tomáš Mrkvička, Torsten Mattfeldt, et al.
Stochastic Environmental Research and Risk Assessment : Research Journal|November 1, 2021
Contextual contact tracing based on stochastic compartment modeling and spatial risk assessmentMateen Mahmood, Jorge Mateu, Enrique Hernández-Orallo
Journal of Infection and Public Health|June 11, 2018
Non-linear spatial modeling of rat sightings in relation to urban multi-source fociCarlos Ayyad, Jorge Mateu, Ibon Tamayo-Uria
Statistics in Medicine|November 28, 2022
Spatially informed Bayesian neural network for neurodegenerative diseases classificationDavid Payares-Garcia, Jorge Mateu, Wiebke Schick
Entropy (Basel, Switzerland)|July 27, 2022
A Spatially Correlated Model with Generalized Autoregressive Conditionally Heteroskedastic Structure for Counts of CrimesIsabel Escudero, José M Angulo, Jorge Mateu
Entropy (Basel, Switzerland)|September 28, 2021
Structural Complexity and Informational Transfer in Spatial Log-Gaussian Cox ProcessesAdriana Medialdea, José Miguel Angulo, Jorge Mateu
Statistics in Medicine|October 9, 2023
A spatio-temporal Dirichlet process mixture model for coronavirus disease-19Jaewoo Park, Seorim Yi, Won Chang, et al.
Statistical Methods in Medical Research|December 26, 2013
Spatial generalised linear mixed models based on distancesOscar O Melo, Jorge Mateu, Carlos E Melo
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