PyApprox: A software package for sensitivity analysis, Bayesian inference, optimal experimental design, and multi-fidelity uncertainty quantification and surrogate modeling.
John D. JakemanPublished in: Environ. Model. Softw. (2023)
Keyphrases
- sensitivity analysis
- bayesian inference
- software package
- experimental design
- managerial insights
- open source
- decision variables
- probabilistic model
- empirical studies
- user friendly
- software packages
- influence diagrams
- prior information
- active learning
- dynamic programming
- experimental designs
- sample size
- expectation propagation
- worst case
- multi class
- case study
- feature selection