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

22 citations · 23 across the 5 of their papers we have counts for

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stat.CO2021★ 1 cited

The No-U-Turn Sampler as a Proposal Distribution in a Sequential Monte Carlo Sampler with a Near-Optimal L-Kernel

Lee Devlin, Paul Horridge, Peter L. Green +1

Markov Chain Monte Carlo (MCMC) is a powerful method for drawing samples from non-standard probability distributions and is utilized across many fields and disciplines. Methods suc…