120 citations · 377 across the 9 of their papers we have counts for
Showing 2015Show all
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astro-ph.SR2015★ 34 cited
Exploring the spectroscopic diversity of type Ia supernovae with DRACULA: a machine learning approach
Michele Sasdelli, E. E. O. Ishida, R. Vilalta +8
The existence of multiple subclasses of type Ia supernovae (SNeIa) has been the subject of great debate in the last decade. One major challenge inevitably met when trying to infer…
astro-ph.CO2015★ 83 cited
cosmoabc: Likelihood-free inference via Population Monte Carlo Approximate Bayesian Computation
E. E. O. Ishida, S. D. P. Vitenti, M. Penna-Lima +5
Approximate Bayesian Computation (ABC) enables parameter inference for complex physical systems in cases where the true likelihood function is unknown, unavailable, or computationa…