ListarModelización, Optimización e Inferencia Estadística (MODES) por tema "Forecasting"
Mostrando ítems 1-4 de 4
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Cure models to estimate time until hospitalization due to COVID-19
(Springer Nature, 2022-01)[Abstract]: A short introduction to survival analysis and censored data is included in this paper. A thorough literature review in the field of cure models has been done. An overview on the most important and recent ... -
Estimating Lengths-Of-Stay of Hospitalized COVID-19 Patients Using a Non-parametric Model: A Case Study in Galicia (Spain)
(Cambridge University Press, 2021)[Abstract] Estimating the lengths-of-stay (LoS) of hospitalised COVID-19 patients is key for predicting the hospital beds’ demand and planning mitigation strategies, as overwhelming the healthcare systems has critical ... -
Machine learning for multivariate time series with the R package mlmts
(Elsevier B.V., 2023-06)[Abstract]: Time series data are ubiquitous nowadays. Whereas most of the literature on the topic deals with univariate time series, multivariate time series have typically received much less attention. However, the ... -
River flow modelling using nonparametric functional data analysis
(John Wiley & Sons Ltd and The Chartered Institution of Water and Environmental Management (CIWEM), 2018)[Abstract]: Time series and extreme value analyses are two statistical approaches usually applied to study hydrological data. Classical techniques, such as autoregressive integrated moving-average models (in the case of ...
