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Ezequiel Alvarez: Leveraging Biased Simulations with Bayesian inference
Ezequiel Alvarez: Leveraging Biased Simulations with Bayesian inference
Scientific measurements often yield data that are mixtures of signal and one or more background components. When class templates (e.g., simulation-based priors) are biased or imprecise, they are typically treated as nuisance systematics. We take a different route: by embedding … Read More