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Technometrics Volume 56, 2014 - Issue 4
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Original Articles

Efficient Sequential Monte Carlo Sampling for Continuous Monitoring of a Radiation Situation

Václav ŠmídlInstitute of Information Theory and AutomationCZ-182 08Prague, Czech Republic ([email protected]; [email protected])
&
Radek HofmanInstitute of Information Theory and AutomationCZ-182 08Prague, Czech Republic ([email protected]; [email protected])
Pages 514-528 | Received 01 Dec 2011, Published online: 10 Dec 2014

Citations (7)

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Read on this site (1)

Xiaoyu Xiong, Václav Šmídl & Maurizio Filippone. (2017) Adaptive multiple importance sampling for Gaussian processes. Journal of Statistical Computation and Simulation 87:8, pages 1644-1665.
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Articles from other publishers (6)

Jean-Michel Marin, Pierre Pudlo & Mohammed Sedki. (2019) Consistency of adaptive importance sampling and recycling schemes. Bernoulli 25:3.
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Ondřej Tichý, Václav Šmídl, Radek Hofman & Nikolaos Evangeliou. (2018) Source term estimation of multi‐specie atmospheric release of radiation from gamma dose rates. Quarterly Journal of the Royal Meteorological Society 144:717, pages 2781-2797.
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Petr Pecha & Václav Šmídl. (2016) Inverse modelling for real-time estimation of radiological consequences in the early stage of an accidental radioactivity release. Journal of Environmental Radioactivity 164, pages 377-394.
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L. Adam & M. Branda. (2016) Sparse optimization for inverse problems in atmospheric modelling. Environmental Modelling & Software 79, pages 256-266.
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X.L. Zhang, G.F. Su, J.G. Chen, W. Raskob, H.Y. Yuan & Q.Y. Huang. (2015) Iterative ensemble Kalman filter for atmospheric dispersion in nuclear accidents: An application to Kincaid tracer experiment. Journal of Hazardous Materials 297, pages 329-339.
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Piotr Kozierski, Talar Sadalla & Dariusz Horla. (2015) Non-Gaussian models in particle filters. Non-Gaussian models in particle filters.

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