A Bayesian global Fréchet regression method is introduced via a Fréchet Bayes rule that reduces the problem to scalar tasks, allows prior-data interpolation, and remains valid under moment conditions using weak conditional expectations.
and Drovandi, Christopher and Frazier, David T
2 Pith papers cite this work. Polarity classification is still indexing.
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Multi-shell modeling shows outward 56Ni mixing produces faster brighter rises and biases one-zone fits to lower ejecta mass and higher nickel fraction, while r-process signatures in collapsars depend on placement, distribution, and viewing angle rather than always showing NIR excess.
citing papers explorer
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Bayesian Global Fr\'echet Regression via Weak Conditional Expectations
A Bayesian global Fréchet regression method is introduced via a Fréchet Bayes rule that reduces the problem to scalar tasks, allows prior-data interpolation, and remains valid under moment conditions using weak conditional expectations.
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Signatures of $^{56}$Ni Mixing and Neutron-rich Ejecta in Supernovae
Multi-shell modeling shows outward 56Ni mixing produces faster brighter rises and biases one-zone fits to lower ejecta mass and higher nickel fraction, while r-process signatures in collapsars depend on placement, distribution, and viewing angle rather than always showing NIR excess.