Stabilised weighted data subsampling for accelerated Bayesian inference in models with recursive likelihoods

Bayesian inference for models with recursively defined likelihoods is computationally demanding, limiting scalability to large datasets. We propose a stabilised weighted subsampling methodology for accelerated Bayesian inference based on an unbiased estimator of the log-likelihood. By assigning high