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Using model-based proposals for fast parameter inference on discrete state space, continuous-time Markov processes
Bayesian statistics provides a framework for the integration of dynamic models with incomplete data to enable inference of model parameters and unobserved aspects of the system under study. An important class of dynamic models is discrete state space, continuous-time Markov processes (DCTMPs). Simul...
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| Publicado no: | J R Soc Interface |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
The Royal Society
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4590508/ https://ncbi.nlm.nih.gov/pubmed/25994297 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rsif.2015.0225 |
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