DREAM
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Related Items (10)
Solving inverse problems using conditional invertible neural networks ⋮ Randomized approaches to accelerate MCMC algorithms for Bayesian inverse problems ⋮ An approximate likelihood perspective on ABC methods ⋮ Variational inference with NoFAS: normalizing flow with adaptive surrogate for computationally expensive models ⋮ Evaluation of ensemble methods for quantifying uncertainties in steady-state CFD applications with small ensemble sizes ⋮ MEASURING MODEL RISK IN FINANCIAL RISK MANAGEMENT AND PRICING ⋮ Random Sampling from Joint Probability Distributions Defined in a Bayesian Framework ⋮ Bayesian realized-GARCH models for financial tail risk forecasting incorporating the two-sided Weibull distribution ⋮ Gaussian process regression and conditional polynomial chaos for parameter estimation ⋮ A Semiautomatic Method for History Matching Using Sequential Monte Carlo
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