Adam Johansen
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About
Adam Johansen is a Professor at the University of Warwick, UK. His research focuses on advanced probabilistic methods, including sequential Monte Carlo techniques, Bayesian inference, and the theoretical aspects of Fredholm integral equations. His recent articles explore unbiased sampling methods, hyper-parameter selection in Bayesian inverse problems, and the properties of genealogies in statistical models.
Recent Grants
Grant: Close
Robust, Scalable Sequential Monte Carlo with Application To Urban Air Quality
Open Date: 2019-09-30
Close Date: 2022-09-29
Grant: Close
CoSInES (COmputational Statistical INference for Engineering and Security)
Open Date: 2018-09-30
Close Date: 2023-09-29
Grant: Close
Academy for PhD Training in Statistics (APTS) - Follow on Funding
Open Date: 2011-09-30
Close Date: 2016-09-29
Grant: Close
Sequential Monte Carlo: Towards Degeneracy-Free Methods
Open Date: 2011-03-31
Close Date: 2013-03-31
Articles (14)
Year:
2025
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2024
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2024
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2023
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2023
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2023
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2023
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2023
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2022
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2022
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2022
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2022
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2021
Year:
2021
Collaborators (6)
Marco Brancaccio
Lecturer and UK DRI Fellow
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Arnaud Doucet
University of Oxford
Francesca Romana Crucinio
King’s College London
Jere Koskela
Associate Professor
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Paul A Jenkins
University of Warwick
Stefan Grosskinsky
Professor
University of Augsburg
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