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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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| 發表在: | Stat Comput |
|---|---|
| Main Authors: | , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Springer US
2016
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| 主題: | |
| 在線閱讀: | 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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