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pro vyhledávání: '"Zhu, Wanchuang"'
Autor:
Zhu, Wanchuang, Nguyen, Ngoc Lan Chi
Bayesian networks have been used as a mechanism to represent the joint distribution of multiple random variables in a flexible yet interpretable manner. One major challenge in learning the structure of a Bayesian network is how to model networks whic
Externí odkaz:
http://arxiv.org/abs/2206.01356
Byzantine attacks hinder the deployment of federated learning algorithms. Although we know that the benign gradients and Byzantine attacked gradients are distributed differently, to detect the malicious gradients is challenging due to (1) the gradien
Externí odkaz:
http://arxiv.org/abs/2110.11736
Learning how to aggregate ranking lists has been an active research area for many years and its advances have played a vital role in many applications ranging from bioinformatics to internet commerce. The problem of discerning reliability of rankers
Externí odkaz:
http://arxiv.org/abs/2104.07261
Akademický článek
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Autor:
Zhu, Wanchuang, Fan, Yanan
The pseudo likelihood method of Besag(1974), has remained a popular method for estimating Markov random field on a very large lattice, despite various documented deficiencies. This is partly because it remains the only computationally tractable metho
Externí odkaz:
http://arxiv.org/abs/1601.02410
Autor:
Zhu, Wanchuang, Ouyang, Jinsong, Rakvongthai, Yothin, Guehl, N. J., Wooten, D. W., Fakhri, G. El, Normandin, M. D., Fan, Yanan
We present a fully Bayesian statistical approach to the problem of compartmental modelling in the context of Positron Emission Tomography. We cluster homogeneous region of interest and perform kinetic parameter estimation simultaneously. A mixture mo
Externí odkaz:
http://arxiv.org/abs/1409.7454
Autor:
Zhu, Wanchuang, Fan, Yanan
Mixture models are flexible tools in density estimation and classification problems. Bayesian estimation of such models typically relies on sampling from the posterior distribution using Markov chain Monte Carlo. Label switching arises because the po
Externí odkaz:
http://arxiv.org/abs/1403.2137
Autor:
Zhu, Wanchuang1,2,3 (AUTHOR) wanchuang.zhu@uts.edu.au, Marchant, Roman2,3 (AUTHOR), Morris, Richard W.3,4 (AUTHOR), Baur, Louise A.3,5,6 (AUTHOR), Simpson, Stephen J.3,7 (AUTHOR), Cripps, Sally1,3,8,9 (AUTHOR)
Publikováno v:
BMC Medicine. 3/21/2023, Vol. 21 Issue 1, p1-13. 13p.
Autor:
Zhu, Wanchuang, Fan, Yanan
Publikováno v:
Journal of Computational and Graphical Statistics, 2018 Mar 01. 27(1), 59-70.
Externí odkaz:
https://www.jstor.org/stable/44862032
Autor:
Zhu, Wanchuang, Marchant, Roman, Morris, Richard W., Baur, Louise A., Simpson, Stephen J., Cripps, Sally
Additional file 1. Details of data, data pre-processing, prior setting and comparison with multiple linear regression. Table S1. Design of the LSAC data collection. Table S2. The availability of variables in different waves for cohort B and K respect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c80eab9eb85af70abfbbc93f49273f46