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polynomial-chaos

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JBris / model-calibration-evaluation

Evaluating model calibration methods for sensitivity analysis, uncertainty analysis, optimisation, and Bayesian inference

deep-learning pymc global-optimization sensitivity-analysis bayesian-optimization bayesian-statistics kriging uncertainty-analysis approximate-bayesian-computation polynomial-chaos-expansion surrogate-models generative-neural-network optuna likelihood-free-inference simulation-based-inference sobol-indices shuffled-complex-evolution differential-evolution-mcmc polynomial-chaos bolfi

Updated Nov 20, 2024
Python

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