Sfoglia per Corso STATISTICS
Bayesian dimensionality reduction
2021
Bayesian Inference for Complex Data Structures: Theoretical and Computational Advances
2021
Bayesian Inference for Complex Data Structures: Theoretical and Computational Advances
2021
Bayesian methods for the design and analysis of complex follow-up studies
2020
“Bayesian Modular Approaches for Regression”
2019
Computer Experiments: Sensitivity Analysis and Interactions
2020
“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
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