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06/23/2022
A Bayesian Approach to Atmospheric Circulation Regime Assignment
The standard approach when studying atmospheric circulation regimes and ...
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01/10/2021
Randomised maximum likelihood based posterior sampling
Minimization of a stochastic cost function is commonly used for approxim...
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07/01/2020
Reconstructing regime-dependent causal relationships from observational time series
Inferring causal relations from observational time series data is a key ...
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06/01/2020
Reinforcement learning and Bayesian data assimilation for model-informed precision dosing in oncology
Model-informed precision dosing (MIPD) using therapeutic drug/biomarker ...
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08/28/2019
Analysis of a localised nonlinear Ensemble Kalman Bucy Filter with complete and accurate observations
Concurrent observation technologies have made high-precision real-time d...
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01/18/2019