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DANIELE DURANTE

Immagine Profilo
Assistant Professor
Department of Decision Sciences
 

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Courses a.y. 2020/2021

20596 MACHINE LEARNING
30517 PYTHON PROGRAMMING FOR ECONOMICS, MANAGEMENT AND FINANCE
40334 TOPICS IN STATISTICAL AND MACHINE LEARNING

Courses previous a.y.


Biographical note

Daniele Durante is an Assistant Professor of Statistics at the Department of Decision Sciences of the Bocconi University, and a Research Affiliate at the Bocconi Institute for Data Science and Analytics (BIDSA). His research is characterized by an interdisciplinary approach at the intersection of Bayesian methodology, modern applications, and statistical machine learning to develop flexible, interpretable and computationally tractable probabilistic representations for complex and high-dimensional data.

For more information visit https://danieledurante.github.io/web/.


Academic CV


Research areas

Bayesian Methods  Bayesian Computation  Bayesian Nonparametrics  Methods for High-Dimensional and Categorical Data  Statistical Machine Learning  Network Science — Shrinkage  Complex Data


Publications



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