Finite-sample error bounds are established for SMC samplers, enabling complexity analysis with respect to T and d for general and tempering sequences.
Central limit theorem for sequential Monte Carlo methods and its appli- cation to Bayesian inference.Ann
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On the complexity of standard and waste-free SMC samplers
Finite-sample error bounds are established for SMC samplers, enabling complexity analysis with respect to T and d for general and tempering sequences.