ListarInstitute of New Imaging Technologies (INIT) por tema "Bayesian inference"
Mostrando ítems 1-3 de 3
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A Bayesian machine learning approach for spatio-temporal prediction of COVID-19 cases
Springer (2022)Modeling the spread of infectious diseases in space and time needs to take care of complex dependencies and uncertainties. Machine learning methods, and neural networks, in particular, are useful in modeling this sort of ... -
A Spatially Correlated Model with Generalized Autoregressive Conditionally Heteroskedastic Structure for Counts of Crimes
MDPI (2022-06-29)Crime is a negative phenomenon that affects the daily life of the population and its development. When modeling crime data, assumptions on either the spatial or the temporal relationship between observations are necessary ... -
Bayesian spatio-temporal prediction of cancer dynamics
Elsevier (2015-09)In this paper we analyze the spatio-temporal dynamics of brain tumors. These objects are originally processed from computer tomography images, and can be depicted as a collection of image pixels with varying degrees of ...