CORDIS Project
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This project develops a mathematical framework to enhance the scalability of Bayesian learning methods, focusing on high-dimensional and hierarchical models. It integrates computational and statistical aspects to improve algorithms used in various fields, such as political science and genomics, aiming to optimize exist…
As the scale and complexity of available data increase, developing rigorous understanding of the computational properties of statistical procedures has become a key scientific priority of our century.
In line with such priority, this project develops a mathematical theory of computational scalability for Bayesian learning methods, with a focus on extremely popular high-dimensional and hierarchical models.Unlike most recent literature, we will integrate computational and statistical aspects in th…
UNIVERSITA COMMERCIALE LUIGI BOCCONI
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