Bayesian nonparametric estimation of Milky Way parameters using matrix-variate data in a new Gaussian Process-based method

In this paper we develop an inverse Bayesian approach to find the value of the unknown model parameter vector that supports the real (or test) data, where the data comprises measurements of a matrix-variate variable. The method is illustrated via the estimation of the unknown Milky Way feature param...

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Bibliographic Details

Main Authors:	Dalia Chakrabarty, Munmun Biswas, Sourabh Bhattacharya
Format:	Default Article
Published:	2015
Subjects:	Statistics not elsewhere classified Other mathematical sciences not elsewhere classified untagged Statistics Mathematical Sciences not elsewhere classified
Online Access:	https://hdl.handle.net/2134/26664
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