Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/23792
Title: | Extended variational inference for Dirichlet process mixture of Beta-Liouville distributions for proportional data modeling |
Authors: | Lai, Y Guan, W Luo, L Ruan, Q Ping, Y Song, H Meng, H Pan, Y |
Keywords: | bayesian estimation;beta-Liouville distribution;dirichlet process;extended variational inference;infinite mixture model;object detection;text categorization |
Issue Date: | 25-Oct-2021 |
Publisher: | Wiley |
Citation: | Lai, Y, Guan, W, Luo, L, Ruan, Q., Ping, Y., Song, H., Meng, H. and Pan, Y. (2021) 'Extended variational inference for Dirichlet process mixture of Beta-Liouville distributions for proportional data modeling', International Journal of Intelligent Systems, 0 (in press), pp. 1- 30. doi: 10.1002/int.22721. |
URI: | https://bura.brunel.ac.uk/handle/2438/23792 |
DOI: | https://doi.org/10.1002/int.22721 |
ISSN: | 0884-8173 |
Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
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FullText.pdf | Embargoed until 25 Oct 2022 | 5.94 MB | Adobe PDF | View/Open |
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