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Flexible and efficient Bayesian pharmacometrics modeling using Stan and Torsten, Part I
Stan is an open‐source probabilistic programing language, primarily designed to do Bayesian data analysis. Its main inference algorithm is an adaptive Hamiltonian Monte Carlo sampler, supported by state‐of‐the‐art gradient computation. Stan's strengths include efficient computation, an expressi...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9469701/ https://www.ncbi.nlm.nih.gov/pubmed/35570331 http://dx.doi.org/10.1002/psp4.12812 |