Tempering the Bayes Filter Towards Improved Model-Based Estimation
Model-based filtering is often carried out while subject to an imperfect model, as learning partially-observable stochastic systems remains a challenge. Recent work on Bayesian inference found that tempering the likelihood or full posterior of an imperfect model can improve predictive accuracy, as m...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2026-01-01
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| coleção: | IEEE Open Journal of Control Systems |
| Assuntos: | |
| Acesso em linha: | https://ieeexplore.ieee.org/document/11442284/ |
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