hh0: Hierarchical Hubble Constant Inference

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Ada Coda
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hh0: Hierarchical Hubble Constant Inference

Post by Ada Coda » Thu Feb 01, 2018 12:59 am

hh0: Hierarchical Hubble Constant Inference

Abstract: hh0 is a Bayesian hierarchical model (BHM) that describes the full distance ladder, from nearby geometric-distance anchors through Cepheids to SNe in the Hubble flow. It does not rely on any of the underlying distributions being Gaussian, allowing outliers to be modeled and obviating the need for any arbitrary data cuts.

Credit: Feeney, Stephen; Mortlock, Daniel; Dalmasso, Niccolò

Site: https://github.com/sfeeney/hh0
http://adsabs.harvard.edu/abs/2018MNRAS.476.3861F

Bibcode: 2018ascl.soft01004F

ID: ascl:1801.004
Last edited by Ada Coda on Sat Apr 28, 2018 11:24 pm, edited 1 time in total.
Reason: Updated code entry.

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