Inverse Bayesian Estimation of Gravitational Mass Density in Galaxies from Missing Kinematic Data

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ISSN Print: 2161-1203
ISSN Online: 2161-1211
www.scirp.org/journal/ajcm
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"Inverse Bayesian Estimation of Gravitational Mass Density in Galaxies from Missing Kinematic Data"
written by Dalia Chakrabarty, Prasenjit Saha,
published by American Journal of Computational Mathematics, Vol.4 No.1, 2014

has been cited by the following article(s):

[1]	Bayesian learning in the absence of training data, by embedding model parameters into support of the likelihood: applications to astrophysics
	2019

[2]	Heuristically repopulated Bayesian ant colony optimization for treating missing values in large databases
	Knowledge-Based Systems, 2017

[3]	Bayesian learning of material density function by multiple sequential inversions of 2-D images in electron microscopy
	Interdisciplinary Bayesian Statistics, 2015

[1]	Heuristically repopulated Bayesian ant colony optimization for treating missing values in large databases Knowledge-Based Systems, 2017 DOI:10.1016/j.knosys.2017.06.033

[2]	Interdisciplinary Bayesian Statistics Springer Proceedings in Mathematics & Statistics, 2015 DOI:10.1007/978-3-319-12454-4_3

[3]	Interdisciplinary Bayesian Statistics Springer Proceedings in Mathematics & Statistics, 2015 DOI:10.1007/978-3-319-12454-4_3

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