Preprint
Aug 2026
Parameter estimation in Conditional Sequential Monte Carlo algorithms through Particle Learning
The p(parameter)-CSMC algorithm is proposed, which incorporates both parameter learning and ancestor sampling, leading to much better mixing properties compared to (particle) Gibbs sampling in settings where strong internal correlations may challenge effective exploration.
A. D. Palomares, G. Storvik
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