Umberto Picchini
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Associate Professor in Mathematical Statistics
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About
Dr. Umberto Picchini is an Associate Professor in Mathematical Statistics at the University of Gothenburg and Chalmers University of Technology in Sweden. His research focuses on Bayesian models, stochastic differential equations, and statistical modeling of diabetic neuropathy, as evident from his recent articles. His work includes developments in guided sequential ABC schemes, MCMC proposals, and scalable inference frameworks for complex models.
Recent Grants
Grant: Close
Deep learning and likelihood-free Bayesian inference for stochastic modelling
Open Date: 2020-01-01
Close Date: 2023-12-01
Grant: Close
Deep learning and likelihood-free inference for intractable stochastic models
Open Date: 2020-01-01
Close Date: 2024-12-01
Grant: Close
Quantifying and Communicating Uncertainty: Challenges and Opportunities
Open Date: 2015-06-01
Close Date: 2016-06-01
Grant: Close
Statistical Inference and Stochastic Modelling of Protein Folding
Open Date: 2014-06-01
Close Date: 2019-12-01
Grant: Close
A software for fitting general state–space multidimensional models
Open Date: 2012-01-01
Close Date: 2012-12-01
Articles (7)
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2024
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2024
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2023
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2023
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2022
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2022
Year:
2021
Collaborators (2)
Marija Cvijovic
Chalmers University of Technology
Andrew Golightly
Associate Professor
University of Durham
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