Flexible and efficient Bayesian pharmacometrics modeling using Stan and Torsten, Part I
Abstract 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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-09-01
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| Series: | CPT: Pharmacometrics & Systems Pharmacology |
| Online Access: | https://doi.org/10.1002/psp4.12812 |