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

22 citations · 31 across the 10 of their papers we have counts for

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Improved Disease Outbreak Detection from Out-of-sequence measurements Using Markov-switching Fixed-lag Particle Filters

Conor Rosato, Joshua Murphy, Siân E. Jenkins +7

Particle filters (PFs) have become an essential tool for disease surveillance, as they can estimate hidden epidemic states in nonlinear and non-Gaussian models. In epidemic modelli…