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The PF technique allows for a complete representation of the state posterior distribution, which approximates, by stochastic samples generated using a sequential importance sampling strategy.
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Assuming that we use a sequential importance resampling particle filter[15], the i th state particle, i=1,…,N, is given by x ̌ λ, k ( i ) = x ̌ λ, k ( i ), y ̌ λ, k ( i ), x ̇ ̌ λ, k ( i ), y ̇ ̌ λ, k ( i ) T = F x λ, k − 1 ( i ).
Blitzstein, J. & Diaconis, P. A sequential importance sampling algorithm for generating random graphs with prescribed degrees.
Post-hoc pairwise comparisons were calculated using a sequential Bonferroni correction to adjust p-values.
Fuentes-Hernandez, A. et al. Using a sequential regimen to eliminate bacteria at sublethal antibiotic dosages.
The primary confirmatory endpoint was analyzed using a sequential one-sided truncated probability ratio test.
Fragmentation efficiency was determined using a sequential sieving method to isolate fragments less than 2 mm.
The celiac disease screen was performed using a sequential approach.
Kinetic data were analyzed using a sequential method.
Dyes were excited separately using a sequential scanning mode.
PAXgene tubes were frozen using a sequential freezing process.
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