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Found 152 Documents (Results 1–100)

A practical example for the non-linear Bayesian filtering of model parameters. (English) Zbl 1455.62188

D’Elia, Marta (ed.) et al., Quantification of uncertainty: improving efficiency and technology. QUIET. Selected contributions based on the presentations at the international workshop, Trieste, Italy, July 18–21, 2017. Cham: Springer. Lect. Notes Comput. Sci. Eng. 137, 241-272 (2020).
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Sequential importance sampling for online Bayesian changepoint detection. (English) Zbl 1462.62035

Colubi, Ana (ed.) et al., Proceedings of COMPSTAT 2016 – 22nd international conference on computational statistics, Oviedo, Spain, August 23–26, 2016. The Hague: International Statistical Institute; The Hague: International Association for Statistical Computing. 73-84 (2016).
MSC:  62-08 62M10 62F15
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Data analysis for scientists and engineers. (English) Zbl 1358.62006

Princeton, NJ: Princeton University Press (ISBN 978-0-691-16992-7/hbk; 978-1-4008-8306-6/ebook). xiii, 393 p. (2016).
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On the convergence of quantum and sequential Monte Carlo methods. (English) Zbl 1302.65005

Dick, Josef (ed.) et al., Monte Carlo and quasi-Monte Carlo methods 2012. Proceedings of the 10th international conference on ‘Monte Carlo and quasi-Monte Carlo methods in scientific computing’, Sydney, Australia, February 13–17, 2012. Berlin: Springer (ISBN 978-3-642-41094-9/hbk; 978-3-642-41095-6/ebook). Springer Proceedings in Mathematics & Statistics 65, 385-398 (2013).
MSC:  65C05 65C40
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Sequential Bayesian filtering via minimum distortion quantization. (English) Zbl 1234.93050

Hu, Xiaoming (ed.) et al., Three decades of progress in control sciences. Dedicated to Chris Byrnes and Anders Lindquist. Berlin: Springer (ISBN 978-3-642-11277-5/hbk; 978-3-642-11278-2/ebook). 203-213 (2010).
MSC:  93B51 93E11
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