Tracking full posterior in online Bayesian classification learning: a particle filter approach-Reference-Cited by-同舟云学术

Tracking full posterior in online Bayesian classification learning: a particle filter approach

Published:2024-07-09 Issue: Volume: Page:1-19
ISSN:1048-5252
Container-title:Journal of Nonparametric Statistics
language:en
Short-container-title:Journal of Nonparametric Statistics

Author:

Shi Enze¹,Xie Jinhan¹²,Hu Shenggang³,Sun Ke¹,Dai Hongsheng⁴,Jiang Bei¹,Kong Linglong¹,Li Lingzhu⁵

Affiliation:

1. Department of Mathematical and Statistical Sciences, University of Alberta, Alberta, Canada

2. Yunnan Key Laboratory of Statistical Modeling and Data Analysis, Yunnan University, Kunming, People's Republic of China

3. Department of Statistics, University of Warwick, Warwick, UK

4. School of Mathematics, Statistics and Physics, Newcastle University, Newcastle upon Tyne, UK

5. School of Mathematics, Statistics and Mechanics, Beijing University of Technology, Beijing, People's Republic of China

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10485252.2024.2368631

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