Sfoglia per Corso STATISTICS
“Essays in Mathematical Statistics: Representations, Convergence, and Applications”
2019
Finite-dimensional nonparametric priors: theory and applications
2020
From post hoc explanations to Bayesian nonparametric models: unveiling hidden structures
2024
Hierarchical structures in Bayesian Statistics
2024
Interpretability & Explainability of Black-Box Models
2022
Interpretability of machine learning with hydrological applications
2023
Machine Learning Approaches for Computing Information Value and Information Density
2023
Methodological and Computational Advances for High–Dimensional Bayesian Regression with Binary and Categorical Responses
2023
Modelling with discrete random probability measures
2023
Models for the Natural History of Breast Cancer
2022
“New Advances On Records”
2019
On Complex Dependence Structures in Bayesian Nonparametrics: a Distance–based Approach
2021
On Complex Dependence Structures in Bayesian Nonparametrics: a Distance–based Approach
2021
On Dependent Processes in Bayesian Nonparametrics: Theory, Methods, and Applications
2022
Online Learning, Physics and Algorithms
2021
Risk prediction and family history effect in survival models for disease onset, with a specific focus on breast cancer.
2024
Scalable Bayesian dynamic regression in neuroimaging
2022
“Sensitivity Analysis and Machine Learning for Computationally Challenging Computer Codes”
2019
Stochastic processes of the urn type with convergent predictive distributions
2020
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