2 citations · 5 across the 5 of their papers we have counts for
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stat.ME2022★ 2 cited
Structure Learning for Hybrid Bayesian Networks
Wanchuang Zhu, Ngoc Lan Chi Nguyen
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 lear…
stat.ME2021
Partition-Mallows Model and Its Inference for Rank Aggregation
Wanchuang Zhu, Yingkai Jiang, Jun S. Liu +1
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 t…
stat.ME2016
A novel approach for Markov Random Field with intractable normalising constant on large lattices
Wanchuang Zhu, Yanan Fan
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…