Minimum Discrepancy Methods in Uncertainty Quantification
arXiv:2109.06075
Abstract
The lectures were prepared for the École Thématique sur les Incertitudes en Calcul Scientifique (ETICS) in September 2021.
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- Kernel Mean Embedding of Distributions: A Review and Beyond
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- A Kernel Test of Goodness of Fit
- Stein Point Markov Chain Monte Carlo
- Metrizing Weak Convergence with Maximum Mean Discrepancies
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