Conference paper Open Access
Computing steady states with Stan's nonlinear algebraic solver
Margossian, Charles
Stan’s numerical algebraic solver can be used to solve systems of nonlinear algebraic equations with no closed form solutions. One of its key applications in scientific and engineering fields is the computation of equilibrium states (equivalently steady states). This case study illustrates the use of the algebraic solver by applying it to a problem in pharmacometrics. In particular, I show the algebraic system we solve can be quite complex and embed, for instance, numerical solutions to ordinary differential equations. The code in R and Stan are provided, and a Bayesian model is fitted to simulated data.
Code and data available at github.com/stan-dev/stancon_talks
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AlgebraSolver.pdf
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Indexed in
- Publication date:
- January 10, 2018
- DOI:
-
- Keyword(s):
- StanCon Stan Bayesian Data Analysis
- Meeting:
- StanCon 2018 (Asilomar), Asilomar Conference Center, California, 10-12 January 2018
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International