Eddington's demon: Inferring galaxy mass functions and other distributions from uncertain data

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Eddington's demon: Inferring galaxy mass functions and other distributions from uncertain data

We present a general modified maximum likelihood (MML) method for inferring generative distribution functions from uncertain and biased data. The MML estimator is identical to, but easier and many orders of magnitude faster to compute than the solution of the exact Bayesian hierarchical modelling of...

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Bibliographic Details
Main Authors:	Obreschkow, D., Murray, Steven, Robotham, A., Westmeier, T.
Format:	Journal Article
Published:	Oxford University Press 2018
Online Access:	http://hdl.handle.net/20.500.11937/68228

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