khaos
2.1.1Bayesian Sparse Polynomial Chaos Expansion
Overview
Implements Bayesian polynomial chaos expansion methods for surrogate modeling, uncertainty quantification, and sensitivity analysis. Includes sparse regression-based approaches and adaptive Bayesian models based on reversible-jump Markov chain Monte Carlo. Optional screening and basis-enrichment strategies are provided to improve scalability in moderate to high dimensions.
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- OK2026-04-244 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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45 7 exported
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8 avg / 49 max
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45 nodes / 45 edges
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- 2.1.1Latest2026-04-24 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-04-24
- Total releases
- 1 / 1 yrs
- License
- BSD_3_clause + file LICENSE OSI
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