3 papers
stat.ML2025
Bayesian Nonparametric Dynamical Clustering of Time Series
Adrián Pérez-Herrero, Paulo Félix, Jesús Presedo +1
We present a method that models the evolution of an unbounded number of time series clusters by switching among an unknown number of regimes with linear dynamics. We develop a Baye…
stat.ME2022
Hypothesis testing for matched pairs with missing data by maximum mean discrepancy: An application to continuous glucose monitoring
Marcos Matabuena, Paulo Félix, Marc Ditzhaus +2
A frequent problem in statistical science is how to properly handle missing data in matched paired observations. There is a large body of literature coping with the univariate case…
stat.ML2020
Glucose values prediction five years ahead with a new framework of missing responses in reproducing kernel Hilbert spaces, and the use of continuous glucose monitoring technology
Marcos Matabuena, Paulo Félix, Carlos Meijide-Garcia +1
AEGIS study possesses unique information on longitudinal changes in circulating glucose through continuous glucose monitoring technology (CGM). However, as usual in longitudinal me…