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A pseudo-marginal sequential Monte Carlo online smoothing algorithm

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Summary: In this paper, we explore the online computation of expectations of additive state functionals under general path probability measures. We extend an existing algorithm using pseudo-marginalisation techniques, allowing it to be applied to different path-space Monte Carlo problems with linear complexity and constant memory requirements.

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