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20152023
most citedA Review of Innovation-Based Methods to Jointly Estimate Model and Observation Error Covariance Matrices in Ensemble Data Assimilation

143 citations · 304 across the 12 of their papers we have counts for

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Showing 2019Show all

2 papers · 1 filter

stat.CO2019★ 3 cited

Model uncertainty estimation using the expectation maximization algorithm and a particle flow filter

María Magdalena Lucini, Peter Jan van Leeuwen, Manuel Pulido

Model error covariances play a central role in the performance of data assimilation methods applied to nonlinear state-space models. However, these covariances are largely unknown…

stat.ML2019★ 2 cited

Kernel embedded nonlinear observational mappings in the variational mapping particle filter

Manuel Pulido, Peter Jan vanLeeuwen, Derek J. Posselt

Recently, some works have suggested methods to combine variational probabilistic inference with Monte Carlo sampling. One promising approach is via local optimal transport. In this…