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JBris / model-calibration-evaluation

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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 Feb 19, 2024
  • Python

gbhattacharjee / sobol

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This repository includes all files (both scripts and results) necessary to reproduce the figures in the paper 'Using global variance-based sensitivity analysis to prioritise bridge retrofits in a regional road network subject to seismic hazard' by G. Bhattacharjee and J. W. Baker, forthcoming in Structure and Infrastructure Engineering (2021). M…

risk-analysis infrastructure-management road-network sensitivity-analysis traffic-simulation sobol-indices bridge-retrofit
  • Updated Apr 1, 2021
  • Python

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