Expertises
Computer Science
- Process Model
- User
Mathematics
- Count Data
- Parametric
- Point Process
Social Sciences
- Approach
- Colombia
- Mortality
Organisaties
Publicaties
2024
Multivariate Poisson cokriging: A geostatistical model for health count data (2024)Statistical methods in medical research, 33(9), 1637-1659. Payares-Garcia, D., Osei, F., Mateu, J. & Stein, A.https://doi.org/10.1177/09622802241268488Self-exciting point process modelling of crimes on linear networks (2024)Statistical modelling, 24(2), 139-168. D'Angelo, N., Payares-Garcia, D., Adelfio, G. & Mateu, J.https://doi.org/10.1177/1471082X221094146
2023
A Poisson cokriging method for bivariate count data (2023)Spatial statistics, 57. Article 100769. Payares-Garcia, D., Osei, F. B., Stein, A. & Mateu, J.https://doi.org/10.1016/j.spasta.2023.100769NeuroNorm: An R package to standardize multiple structural MRI (2023)Neurocomputing, 550. Article 126493. Payares Garcia, D. E., Mateu, J. & Schick, W.https://doi.org/10.1016/j.neucom.2023.126493Determinants of Pneumonia mortality in Bogota, Colombia: A spatial econometrics approach (2023)Spatial and Spatio-temporal Epidemiology, 45. Article 100581. Payares-Garcia, D., Quintero-Alonso, B. & Melo-Martinez, C.https://doi.org/10.1016/j.sste.2023.100581A dynamic spatio-temporal stochastic modeling approach of emergency calls in an urban context (2023)Mathematics, 11(4). Article 1052. Payares-Garcia, D., Platero, J. & Mateu, J.https://doi.org/10.3390/math11041052Spatially informed Bayesian neural network for neurodegenerative diseases classification (2023)Statistics in medicine, 42(2), 105-121. Payares-Garcia, D., Mateu, J. & Schick, W.https://doi.org/10.1002/sim.9604
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