| 中国居民消费的特征分析——中基于两阶段面板分位回归 朱建平， 朱万闯 数理统计与管理 31 (4), 680-688, 2012 | 13 | 2012 |
| A Bayesian spatial temporal mixtures approach to kinetic parametric images in dynamic positron emission tomography W Zhu, J Ouyang, Y Rakvongthai, NJ Guehl, DW Wooten, G El Fakhri, ... Medical physics 43 (3), 1222-1234, 2016 | 11 | 2016 |
| Relabelling algorithms for mixture models with applications for large data sets W Zhu, Y Fan Journal of Statistical Computation and Simulation 86 (2), 394-413, 2016 | 9 | 2016 |
| Partition–mallows model and its inference for rank aggregation W Zhu, Y Jiang, JS Liu, K Deng Journal of the American Statistical Association 118 (541), 343-359, 2023 | 8 | 2023 |
| Bayesian network modelling to identify on-ramps to childhood obesity W Zhu, R Marchant, RW Morris, LA Baur, SJ Simpson, S Cripps BMC medicine 21 (1), 105, 2023 | 7 | 2023 |
| 非平稳时间序列的 EMD 组合预测及其应用 朱建平， 张楠溪， 朱万闯 统计与决策 15, 4-8, 2013 | 6 | 2013 |
| A novel approach for Markov random field with intractable normalizing constant on large lattices W Zhu, Y Fan Journal of Computational and Graphical Statistics 27 (1), 59-70, 2018 | 5 | 2018 |
| On Bayesian inference for continuous-time autoregressive models without likelihood C Ji, LG Yang, W Zhu, Y Liu, K Deng 2018 21st International Conference on Information Fusion (FUSION), 2137-2142, 2018 | 3 | 2018 |
| Structure learning for hybrid bayesian networks W Zhu, NLC Nguyen arXiv preprint arXiv:2206.01356, 2022 | 2 | 2022 |
| Mandera: Malicious node detection in federated learning via ranking W Zhu, BZH Zhao, S Luo, T Liu, K Deng arXiv preprint arXiv:2110.11736, 2021 | 2 | 2021 |
| 近似 Bayes 计算前沿研究进展及应用 朱万闯， 季春霖， 邓柯 应用数学和力学 40 (11), 1179-1203, 2019 | 2 | 2019 |
| 基于 EMD 技术的非平稳非线性时间序列预测 王德青， 王斐斐， 朱万闯 系统工程, 138-143, 2014 | 2 | 2014 |
| 基于格点搜索的随机效应的 GLS 估计 朱万闯， 林俊岐 统计与信息论坛 26 (005), 21-25, 2011 | 2 | 2011 |
| 中国城市化对外商直接投资影响的实证检验 林俊岐， 朱万闯 统计与决策, 2011 | 1 | 2011 |
| A synthetic likelihood approach for intractable markov random fields W Zhu, Y Fan Computational Statistics 38 (2), 749-777, 2023 | | 2023 |
| Stein Variational Gradient Descent for Approximate Bayesian Computation C Ji, J Yi, W Zhu Second Symposium on Advances in Approximate Bayesian Inference, 2019 | | 2019 |
| Detecting Poisoning Nodes in Federated Learning by Ranking Gradients W Zhu, BZH Zhao, S Luo, K Deng | | |
| Supplementary Materials for “Partition-Mallows Model and Its Inference for Rank Aggregation” W Zhu, Y Jiang, JS Liu, K Deng | | |
Yanan FanSenior Principal Research Scientist, Data61, CSIRO; Professor of Statistics (adjunct) University ofVerified email at csiro.au
