Non-Gaussian inference from non-linear and non-Poisson biased distributed data

Francisco-Shu Kitaura; Metin Ata; Volker M\"uller

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Non-Gaussian inference from non-linear and non-Poisson biased distributed data

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arxiv 1406.7796 v1 pith:QJ66HLYJ submitted 2014-06-30 astro-ph.CO

Non-Gaussian inference from non-linear and non-Poisson biased distributed data

Metin Ata , Francisco-Shu Kitaura , Volker M\"uller This is my paper

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keywords biaseddatadistributedinferencenon-gaussiannon-linearnon-poissonbayesian

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We study the statistical inference of the cosmological dark matter density field from non-Gaussian, non-linear and non-Poisson biased distributed tracers. We have implemented a Bayesian posterior sampling computer-code solving this problem and tested it with mock data based on N-body simulations.

Non-Gaussian inference from non-linear and non-Poisson biased distributed data

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