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PRISM: Probabilistic Regression Instrument for Simulating Models

Posted: Fri Jul 26, 2019 8:31 pm
by Ada Coda
PRISM: Probabilistic Regression Instrument for Simulating Models

Abstract: PRISM analyzes scientific models using the Bayes linear approach, the emulation technique, and history matching to construct an approximation ('emulator') of any given model. The software facilitates and enhances existing MCMC methods by restricting plausible regions and exploring parameter space efficiently and can be used as a standalone alternative to MCMC for model analysis, providing insight into the behavior of complex scientific models. PRISM stores results in HDF5-files and can be executed in serial or MPI on any number of processes. It accepts any type of model and comparison data and can reduce relevant parameter space by factors over 100,000 using only a few thousand model evaluations.

Credit: van der Velden, Ellert

Site: https://prism-tool.readthedocs.io
https://ui.adsabs.harvard.edu/abs/2019ApJS..242...22V

Bibcode: 2019ascl.soft07021V

Preferred citation method: https://ui.adsabs.harvard.edu/abs/2019ApJS..242...22V

ID: ascl:1907.021