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Mike Klaas

1 paper here

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  • first author1

Across the 1 of 1 paper where every author was matched, so the position is known.

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  • stat.CO1

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most citedToward Practical N2 Monte Carlo: the Marginal Particle Filter

34 citations · 34 across the 1 of their papers we have counts for

collaborators

1 paper

stat.CO2012★ 34 cited

Toward Practical N2 Monte Carlo: the Marginal Particle Filter

Mike Klaas, Nando de Freitas, Arnaud Doucet

Sequential Monte Carlo techniques are useful for state estimation in non-linear, non-Gaussian dynamic models. These methods allow us to approximate the joint posterior distribution…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.