Articles by Marcos Matabuena | Synthical

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Marcos Matabuena

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8

Multilevel functional data analysis modeling of human glucose response to meal intake

23 May 2024 by Marcos Matabuena and others

Quantitative Methods, Applications

Conformal uncertainty quantification using kernel depth measures in separable Hilbert spaces

22 May 2024 by Marcos Matabuena and others

Uncertainty quantification in metric spaces

8 May 2024 by Gábor Lugosi and Marcos Matabuena

Statistics Theory, Machine Learning

Optimal Cut-Point Estimation for functional digital biomarkers: Application to Continuous Glucose Monitoring

15 April 2024 by Oscar Lado-Baleato and others at

Harvard University

Methodology, Applications

Deep Learning Framework with Uncertainty Quantification for Survey Data: Assessing and Predicting Diabetes Mellitus Risk in the American Population

28 March 2024 by Marcos Matabuena and others

Methodology, Machine Learning

Personalized Imputation in metric spaces via conformal prediction: Applications in Predicting Diabetes Development with Continuous Glucose Monitoring Information

26 March 2024 by Marcos Matabuena and others

Methodology, Applications

Multilevel functional distributional models with application to continuous glucose monitoring in diabetes clinical trials

15 March 2024 by Marcos Matabuena and Ciprian Crainiceanu

Methodology, Applications

kNN Algorithm for Conditional Mean and Variance Estimation with Automated Uncertainty Quantification and Variable Selection

2 February 2024 by Marcos Matabuena and others at

Harvard T.H. Chan School of Public Health

Methodology, Machine Learning

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