Approximate Bayesian computation in large-scale structure: Constraining the galaxy-halo connection

Monthly Notices of the Royal Astronomical Society

Volumn 469, Issue 3, 2017, Pages 2791-2805

  Hahn, Chang Hoon ^a   Vakili, Mohammadjavad ^a   Walsh, Kilian ^a   Hearin, Andrew P ^b   Hogg, David W ^a,c,d,e   Campbell, Duncan ^b  

^a NEW YORK UNIVERSITY   (United States)

^b YALE UNIVERSITY   (United States)

^c FLATIRON INSTITUTE   (United States)

^d NEW YORK UNIVERSITY   (United States)

^e MAX PLANCK INSTITUT FÜR ASTRONOMIE   (Germany)

Author keywords

Dark matter; Galaxies: haloes; Large scale structure of Universe; Methods: data analysis methods: statistical

Indexed keywords

GALAXIES; IMPORTANCE SAMPLING;

APPROXIMATE BAYESIAN; BAYESIAN COMPUTATION; DARK MATTER; DATA ANALYSIS-METHODS; GALAXY:HALO; LARGE SCALE STRUCTURE OF UNIVERSE; METHOD: DATA ANALYSE -METHOD: STATISTICAL; METHODS. DATA ANALYSIS; METHODS:STATISTICAL; PARAMETER INFERENCE;

BAYESIAN NETWORKS;

EID: 85028742195     PISSN: 00358711     EISSN: 13652966     Source Type: Journal    
DOI: 10.1093/mnras/stx894     Document Type: Article

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