Self-exciting point process modelling of crimes on linear networks N D’Angelo, D Payares, G Adelfio, J Mateu Statistical Modelling 24 (2), 139-168, 2024 | 14 | 2024 |
Spatially informed Bayesian neural network for neurodegenerative diseases classification D Payares‐Garcia, J Mateu, W Schick Statistics in medicine 42 (2), 105-121, 2023 | 9 | 2023 |
A Poisson cokriging method for bivariate count data D Payares-Garcia, F Osei, J Mateu, A Stein Spatial Statistics 57, 100769, 2023 | 3 | 2023 |
Determinants of Pneumonia mortality in Bogota, Colombia: A spatial econometrics approach D Payares-Garcia, B Quintero-Alonso, CEM Martinez Spatial and Spatio-temporal Epidemiology 45, 100581, 2023 | 2 | 2023 |
NeuroNorm: An R package to standardize multiple structural MRI D Payares-Garcia, J Mateu, W Schick Neurocomputing 550, 126493, 2023 | 1 | 2023 |
A point process approach for the classification of noisy calcium imaging data A Burzacchi, N D'Angelo, D Payares-Garcia, J Mateu arXiv preprint arXiv:2409.10409, 2024 | | 2024 |
Multivariate Poisson cokriging: A geostatistical model for health count data D Payares-Garcia, F Osei, J Mateu, A Stein Statistical methods in medical research, 09622802241268488, 2024 | | 2024 |
A Poisson Cokriging Modeling of Co-circulation of Mosquito-borne Diseases in Colombia D Payares-Garcia, F Osei, J Mateu, A Stein | | 2023 |
A dynamic spatio-temporal stochastic modeling approach of emergency calls in an urban context D Payares-Garcia, J Platero, J Mateu Mathematics 11 (4), 1052, 2023 | | 2023 |
Detection and Classification of Neurodegenerative Diseases: A Spatially Informed Bayesian Deep Learning Approach. DEP García Universidade Nova de Lisboa, 2021 | | 2021 |