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Unbiased Bayesian inference for population Markov jump processes via random truncations

We consider continuous time Markovian processes where populations of individual agents interact stochastically according to kinetic rules. Despite the increasing prominence of such models in fields ranging from biology to smart cities, Bayesian inference for such systems remains challenging, as thes...

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Bibliografske podrobnosti
izdano v:Stat Comput
Main Authors: Georgoulas, Anastasis, Hillston, Jane, Sanguinetti, Guido
Format: Artigo
Jezik:Inglês
Izdano: Springer US 2016
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC5477715/
https://ncbi.nlm.nih.gov/pubmed/28690370
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11222-016-9667-9
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