Aug 20, 2024 · We provide a practical implementation of the EnEMF that is as cost efficient as the comparable ensemble Gaussian mixture filter.

The paper titled "The Ensemble Epanechnikov Mixture Filter" by Andrey A. Popov and Renato Zanetti addresses a critical problem in high-dimensional state ...

This work presents an ensemble Epanechnikov mixture filter (EnEMF) that takes advantage of the efficiency of the Epanechnikov kernel in order to perform high- ...

Aug 21, 2024 · This paper introduces the ensemble Epanechnikov mixture filter (EnEMF), a sequential filtering algorithm that leverages the optimal Epanechnikov kernel for ...

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In this work we aim to show that it is practical to instead use the optimal multivariate Epanechnikov kernel. We make use of this optimal Epanechnikov mixture ...

We make use of this optimal Epanechnikov mixture kernel density estimate for the sequential filtering scenario through what we term the ensemble Epanechnikov ...

This work is an expanded version of the conference paper [15] which explored the Epanechnikov kernel in ensemble mixture model filtering. This work formalizes ...

Mar 29, 2025 · The ensemble Gaussian mixture filter (EnGMF) is a non-linear filter suited to data assimilation of highly non-Gaussian and non-linear models ...

Sep 23, 2024 · Looking ahead, Zanetti and Popov aim to prove that their newly proposed method, the Ensemble Epanechnikov Mixture Filter (EnEMF), intersects to ...