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

Files in This Item:
File Description SizeFormat 
FullText.pdfEmbargoed until 25 Oct 20225.94 MBAdobe PDFView/Open


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