High-dimensional Filtering using Nested Sequential Monte Carlo
IEEE Transactions on Signal Processing, 2019.
Sequential Monte Carlo (SMC) methods comprise one of the most successful approaches to approximate Bayesian filtering. However, SMC without a good proposal distribution can perform poorly, in particular in high dimensions. We propose nested sequential Monte Carlo, a methodology that generalizes the SMC framework by requiring only approxim...More
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