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Bayesian calibration of stochastic agent based model via random forest

Software ·
DOI:https://doi.org/10.11578/dc.20240925.4· OSTI ID:code-144475 · Code ID:144475
 [1]
  1. Sandia National Lab. (SNL-CA), Livermore, CA (United States); Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
SAND2024-11403O The Bayesian Calibration of Stochastic Agent-based Model via Random Forest is a code that was developed in concurrence with an article by the same name that was written for a journal. The code reproduces simulation results and plots from the article. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525.
Site Accession Number:
SCR #3053.0
Software Type:
Scientific
License(s):
MIT License
Programming Language(s):
Python; R
Research Organization:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE

Primary Award/Contract Number:
NA0003525
DOE Contract Number:
NA0003525
Code ID:
144475
OSTI ID:
code-144475
Country of Origin:
United States

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