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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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| Publicado no: | Stat Comput |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer US
2016
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| Assuntos: | |
| Acesso em linha: | 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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