CORDIS Project
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This research project explores new methodologies for Bayesian nonparametric inference, aiming to enhance probabilistic modeling and function estimation. It addresses practical challenges in various fields, including ecology, economics, and population dynamics.
The popularity of Bayesian nonparametric (BNP) inference is rapidly growing within both the academic community and practitioners.
Indeed the BNP viewpoint naturally allows for rich and flexible probabilistic modeling and, via conditional (or posterior) distributions, for accurate function estimation, most notably of probability distributions, regression functions and hazard rates.
After de Finetti’s theoretical foundation of the BNP paradigm in the ‘30s, the first methodological breakthroughs in…
UNIVERSITA COMMERCIALE LUIGI BOCCONI
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Italy, Torino
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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