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M bootstrap filters (as Algorithm 1 in this paper) are run in parallel and an aggregate weight is computed for each one of them, denoted (W_{t}^{(m)}); When the coefficient of variation (CV) of these aggregate weights is greater than a given threshold, the M bootstrap filters are resampled (some filters are discarded and others are replicated using a multinomial resampling procedure).
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