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10/12/2022
A sparse matrix formulation of model-based ensemble Kalman filter
We introduce a computationally efficient variant of the model-based ense...
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03/26/2021
A generalised and fully Bayesian framework for ensemble updating
We propose a generalised framework for the updating of a prior ensemble ...
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04/10/2019
Ensemble updating of binary state vectors by maximising the expected number of unchanged components
In recent years, several ensemble-based filtering methods have been prop...
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07/05/2018
A multiple-try Metropolis-Hastings algorithm with tailored proposals
We present a new multiple-try Metropolis-Hastings algorithm designed to ...
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07/05/2018
A Bayesian model for lithology/fluid class prediction using a Markov mesh prior fitted from a training image
We consider a Bayesian model for inversion of observed amplitude variati...
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07/26/2017