Searching for bias and correlations in a Bayesian way

• Verfasst von: Heneka, Caroline [VerfasserIn]
• Verfasst von: Amendola, Luca [VerfasserIn]
• Titel: Searching for bias and correlations in a Bayesian way
• Titelzusatz: example: SN Ia data
• Verf.angabe: Caroline Heneka, Alexandre Posada, Valerio Marra and Luca Amendola
• Fussnoten: Gesehen am 10.11.2017
• Titel Quelle: Enthalten in: De.arxiv.org
• Jahr Quelle: 2014
• Band/Heft Quelle: (2014) Artikel-Nummer 1407.2531, 3 Seiten
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1565231252

Abstract

A range of Bayesian tools has become widely used in cosmological data treatment and parameter inference (see Kunz, Bassett & Hlozek (2007), Trotta (2008), Amendola, Marra & Quartin (2013)). With increasingly big datasets and higher precision, tools that enable us to further enhance the accuracy of our measurements gain importance. Here we present an approach based on internal robustness, introduced in Amendola, Marra & Quartin (2013) and adopted in Heneka, Marra & Amendola (2014), to identify biased subsets of data and hidden correlation in a model independent way.