Expertises
Mathematics
# Bayesian Networks
# Magnetic Resonance Imaging
# Neural Networks
# Point Process
# Process Modeling
Business & Economics
# Crime
# Point Process
# Process Modeling
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Publicaties
Recent
Payares-Garcia, D., Platero, J., & Mateu, J. (2023).
A dynamic spatio-temporal stochastic modeling approach of emergency calls in an urban context.
Mathematics,
11(4), [1052].
https://doi.org/10.3390/math11041052
Payares-Garcia, D., Quintero-Alonso, B., & Melo-Martinez, C. (2023).
Determinants of Pneumonia mortality in Bogota, Colombia: A spatial econometrics approach.
Spatial and Spatio-temporal Epidemiology,
45, [100581].
https://doi.org/10.1016/j.sste.2023.100581
Payares-Garcia, D., Mateu, J., & Schick, W. (2023).
Spatially informed Bayesian neural network for neurodegenerative diseases classification.
Statistics in medicine,
42(2), 105-121.
https://doi.org/10.1002/sim.9604
D'Angelo, N.
, Payares-Garcia, D., Adelfio, G., & Mateu, J. (2022).
Self-exciting point process modelling of crimes on linear networks.
Statistical modelling, 1-30.
https://doi.org/10.1177/1471082X221094146
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