Mattias Villani
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About
Mattias Villani is a Professor at Stockholm University in Sweden. His research focuses on statistical modeling and prediction methods, particularly in areas such as multivariate time series, online prediction mechanisms, and transportation forecasting. Recent publications include work on spectral subsampling MCMC techniques and robust real-time delay predictions in urban transportation networks.
Recent Grants
Grant: Close
Spectral Subsampling for Large-Scale Bayesian Inference - Theory and Applications
Open Date: 2021-01-01
Close Date: 2023-12-31
Grant: Close
Understanding society through register-based machine learning
Open Date: 2019-12-01
Close Date: 2023-12-31
Grant: Close
Robot-Assisted Hastily Formed. Knowledge Networks
Open Date: 2016-07-01
Close Date: 2021-12-01
Grant: Close
Statistical analysis of fMRI data
Open Date: 2014-01-01
Close Date: 2017-12-31
Grant: Close
Flexible Models for Large Financial Micro Datasets
Open Date: 2010-12-15
Close Date: 2014-12-31
Articles (6)
Year:
2023
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2023
Year:
2022
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2022
Year:
2022
Year:
2021
Collaborators (2)
Robert Kohn
Scientia Professor
University of New South Wales
Matias Quiroz
Lecturer
University of Sydney
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