HIGHLIGHTS
- who: Python and collaborators from the Gravitation AstropArticle Physics Amsterdam (GRAPPA), University of Amsterdam, Science Park, XH Amsterdam , Amsterdam Machine Learning Lab (AMLab), University of Amsterdam, Science Park, XH Amsterdam , AI Science Lab, University of Amsterdam, Science Park, XH Amsterdam , Netherlands eScience Center, Science Park, XG Amsterdam, The Netherlands have published the paper: swyft: Truncated Marginal Neural Ratio Estimation in Python, in the Journal: (JOURNAL)
- future: While amortization enables necessary posterior calibration checks like expected coverage probability (Hermans et_al 2021 Miller et_al 2021) it is more efficient to fit the model on only a subset . . .
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