most citedEfficient Learning of the Parameters of Non-Linear Models using Differentiable Resampling in Particle Filters

22 citations · 37 across the 2 of their papers we have counts for

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stat.CO2020★ 15 cited

Increasing the efficiency of Sequential Monte Carlo samplers through the use of approximately optimal L-kernels

Peter L Green, Robert E Moore, Ryan J Jackson +2

By facilitating the generation of samples from arbitrary probability distributions, Markov Chain Monte Carlo (MCMC) is, arguably, \emph{the} tool for the evaluation of Bayesian inf…