| Quantile autoregression neural network model with applications to evaluating value at risk Q Xu, X Liu, C Jiang, K Yu Applied Soft Computing 49, 1-12, 2016 | 68 | 2016 |
| Statistical methods for body mass index: a selective review K Yu, X Liu, R Alhamzawi, F Becker, J Lord Statistical methods in medical research 27 (3), 798-811, 2018 | 19 | 2018 |
| Group penalized unrestricted mixed data sampling model with application to forecasting US GDP growth Q Xu, X Zhuo, C Jiang, X Liu, Y Liu Economic Modelling 75, 221-236, 2018 | 16 | 2018 |
| Nonparametric conditional autoregressive expectile model via neural network with applications to estimating financial risk Q Xu, X Liu, C Jiang, K Yu Applied stochastic models in business and industry 32 (6), 882-908, 2016 | 15 | 2016 |
| Maximum likelihood evidential reasoning-based hierarchical inference with incomplete data X Liu, S Sachan, JB Yang, DL Xu 2019 25th International Conference on Automation and Computing (ICAC), 1-6, 2019 | 6 | 2019 |
| Portfolio selection based on predictive joint return distribution C Jiang, X Ding, Q Xu, X Liu, Y Liu Applied Economics 51 (2), 196-206, 2019 | 6 | 2019 |
| Automobile insurance fraud detection using the evidential reasoning approach and data-driven inferential modelling X Liu, JB Yang, DL Xu, K Derrick, C Stubbs, M Stockdale 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-7, 2020 | 5 | 2020 |
| Improved local quantile regression X Liu, K Yu, Q Xu, X Tang Statistical Modelling 19 (5), 501-523, 2019 | 3 | 2019 |
| 基于非参数分位 CCK 模型的沪市羊群效应实证研究 刘曦， 许启发， 蒋翠侠 统计与决策 8, 2014 | 3 | 2014 |
| Some new developments for quantile regression X Liu Brunel University London, 2018 | 2 | 2018 |
| A discrete density approach to Bayesian quantile and expectile regression with discrete responses X Liu, X Hu, K Yu Journal of Statistical Theory and Practice 15, 1-19, 2021 | 1 | 2021 |
| Fraud detection in automobile insurance claims: a statistical review X Liu, JB Yang, DL Xu Developments of Artificial Intelligence Technologies in Computation and …, 2020 | 1 | 2020 |
| Modelling Tails for Collinear Data with Outliers in the English Longitudinal Study of Ageing: Quantile Profile Regression X Liu, S Siverani, K Yu, KJ Smith Biometrical Journal, 2020 | 1 | 2020 |
| 极端 VaR 风险测度的新方法: QRNN+ POT 许启发， 陈士俊， 蒋翠侠， 刘曦 系统工程学报 31 (1), 33-44, 2016 | 1 | 2016 |
| Blockchain-based auditing of legal decisions supported by explainable AI and generative AI tools S Sachan, X Liu Engineering Applications of Artificial Intelligence 129, 107666, 2024 | | 2024 |
| 分位数向量自回归分布滞后模型及脉冲响应分析 许启发， 刘曦， 蒋翠侠， 虞克明 系统工程学报 33 (4), 472-487, 2018 | | 2018 |
Keming Yu (Professor)Brunel University LondonAdresse e-mail validée de brunel.ac.uk
