Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/20035
Title: | Learning in the absence of training data—A galactic application |
Authors: | Spire, C Chakrabarty, D |
Keywords: | Bayesian statistics and new generations;Bayesian learning;dark matter in galaxies;Metropolis-within-Gibbs;state space density |
Issue Date: | 2019 |
Publisher: | Springer |
Citation: | Springer Proceedings in Mathematics and Statistics, 2019, 296 pp. 43 - 51 |
URI: | https://bura.brunel.ac.uk/handle/2438/20035 |
DOI: | https://doi.org/10.1007/978-3-030-30611-3_5 |
ISBN: | 9783030306106 |
ISSN: | 2194-1009 |
Appears in Collections: | Dept of Mathematics Research Papers |
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FullText.pdf | 186.07 kB | Adobe PDF | View/Open |
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