Expertise
Mathematics
# Bayesian Networks
# Magnetic Resonance Imaging
# Neural Networks
# Point Process
# Process Modeling
Business & Economics
# Crime
# Point Process
# Process Modeling
Faculty of Geo-Information Science and Earth Observation (ITC), Department of Earth Observation Science (EOS)Publications
Recent
Payares-Garcia, D.
, Osei, F. B.
, Stein, A., & Mateu, J. (2023).
A Poisson cokriging method for bivariate count data.
Spatial statistics,
57, Article 100769.
https://doi.org/10.1016/j.spasta.2023.100769
Payares Garcia, D. E., Mateu, J., & Schick, W. (2023).
NeuroNorm: An R package to standardize multiple structural MRI.
Neurocomputing,
550, Article 126493.
https://doi.org/10.1016/j.neucom.2023.126493
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), Article 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, Article 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. Advance online publication.
https://doi.org/10.1177/1471082X221094146
UT Research Information System
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