Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/20506
Title: Bayesian nonparametric estimation of Milky Way parameters using matrix-variate data, in a new Gaussian Process based method
Authors: Chakrabarty, D
Biswas, M
Bhattacharya, S
Keywords: supervised learning;inverse problems;Gaussian Process;matrix-variate normal;transformation-based MCMC
Issue Date: 2015
Publisher: The Institute of Mathematical Statistics and the Bernoulli Society
Citation: Electronic Journal of Statistics, 2015, 9 pp. 1378 - 1403
arXiv:1304.5967v4 [stat.AP]
URI: https://bura.brunel.ac.uk/handle/2438/20506
https://arxiv.org/abs/1304.5967
DOI: https://doi.org/10.1214/15-EJS1037
ISSN: 1935-7524
Appears in Collections:Dept of Mathematics Research Papers

Files in This Item:
File Description SizeFormat 
FullText.pdf400.44 kBAdobe PDFView/Open


Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.