You-Gan Wang
| Contact category | Researcher (past) |
|---|---|
| Job title | Professor in Quantitative Analysis |
| Research institute | Institute for Learning Sciences and Teacher Education (ILSTE) |
| Faculty of Education and Arts | |
| ORCID | https://orcid.org/0000-0003-0901-4671 |
Research outputs
Assessing and predicting water quality index with key water parameters by machine learning models in coastal cities, China
Xu, Jing, Mo, Yuming, Zhu, Senlin, Wu, Jinran, Jin, Guangqiu, Wang, You-Gan, Ji, Qingfeng and Li, Ling. (2024). Assessing and predicting water quality index with key water parameters by machine learning models in coastal cities, China. Heliyon. 10(13), pp. 1-19. https://doi.org/10.1016/j.heliyon.2024.e33695Journal article
An adaptive trimming approach to Bayesian additive regression trees
Cao, Taoyun, Wu, Jinran and Wang, You-Gan. (2024). An adaptive trimming approach to Bayesian additive regression trees. Complex and Intelligent Systems. pp. 6805-6823. https://doi.org/10.1007/s40747-024-01516-xJournal article
Item Response Theory Models for Polytomous Multidimensional Forced-Choice Items to Measure Construct Differentiation
Qiu, Xuelan, de la Torre, Jimmy, Wang, You-Gan and Wu, Jinran. (2024). Item Response Theory Models for Polytomous Multidimensional Forced-Choice Items to Measure Construct Differentiation. Educational Measurement: Issues and Practice. pp. 1-12. https://doi.org/10.1111/emip.12621Journal article
Inflation transmission diagnostics via a Bayesian Graph Vector Autoregressive Model with Markov Switching
Fu, Jiali, Cai, Fengjing, Wu, Jinran, Zhao, Shangrui and Wang, You-Gan. (2024). Inflation transmission diagnostics via a Bayesian Graph Vector Autoregressive Model with Markov Switching. Journal of Systems Science and Complexity. pp. 1-24. https://doi.org/10.1007/s11424-024-3022-6Journal article
Rapeseed seed coat color classification based on the visibility graph algorithm and hyperspectral technique
Zou, Chaojun, Zhu, Xinghui, Wang, Fang, Wu, Jinran and Wang, You-Gan. (2024). Rapeseed seed coat color classification based on the visibility graph algorithm and hyperspectral technique. Agronomy. 14(5), p. Article 941. https://doi.org/10.3390/agronomy14050941Journal article
Solving a class of multi-scale elliptic PDEs by Fourier-based mixed physics informed neural networks
Li, Xi-An, Wu, Jinran, Tai, Xin, Xu, Jianhua and Wang, You-Gan. (2024). Solving a class of multi-scale elliptic PDEs by Fourier-based mixed physics informed neural networks. Journal of Computational Physics. 508(C), pp. 1-23. https://doi.org/10.1016/j.jcp.2024.113012Journal article
Augmented support vector regression with an autoregressive process via an iterative procedure
Wu, Jinran, Wang, You-Gan and Zhang, Hao. (2024). Augmented support vector regression with an autoregressive process via an iterative procedure. Applied Soft Computing Journal. 158, pp. 1-13. https://doi.org/10.1016/j.asoc.2024.111549Journal article
Estimation of Sediment Transport Parameters From Measured Suspended Concentration Time Series Under Waves and Currents With a New Conceptual Model
Zhang, Shaotong, Zhao, Zixi, Li, Guangxue, Wu, Jinran, Wang, You-Gan, Nielsen, Peter, Jeng, Dong-Sheng, Qiao, Lulu, Wang, Chenghao and Li, Sanzhong. (2024). Estimation of Sediment Transport Parameters From Measured Suspended Concentration Time Series Under Waves and Currents With a New Conceptual Model. Water Resources Research. 60(4), pp. 1-20. https://doi.org/10.1029/2023WR034933Journal article
Optimization of suspended particulate transport parameters from measured concentration profiles with a new analytical model
Zhang, Shaotong, Zhao, Zixi, Wu, Jinran, Perrochet, Pierre, Wang, You-Gan, Li, Guangxue and Li, Sanzhong. (2024). Optimization of suspended particulate transport parameters from measured concentration profiles with a new analytical model. Water Research. 254, pp. 1-11. https://doi.org/10.1016/j.watres.2024.121407Journal article
Recent advances in longitudinal data analysis
Fu, Liya, Wang, You-Gan and Wu, Jinran. (2024). Recent advances in longitudinal data analysis. Handbook of Statistics. 50, pp. 173-221. https://doi.org/10.1016/bs.host.2023.10.007Journal article
Physical informed neural networks with soft and hard boundary constraints for solving advection-diffusion equations using Fourier expansions
Li, Xi-An, Deng, Jiaxin, Wu, Jinran, Zhang, Shaotong, Li, Weide and Wang, You-Gan. (2024). Physical informed neural networks with soft and hard boundary constraints for solving advection-diffusion equations using Fourier expansions. Computers and Mathematics with Applications. 159, pp. 60-75. https://doi.org/10.1016/j.camwa.2024.01.021Journal article
Solving the one dimensional vertical suspended sediment mixing equation with arbitrary eddy diffusivity profiles using temporal normalized physics-informed neural networks
Zhang, Shaotong, Deng, Jiaxin, Li, Xi-An, Zhao, Zixi, Wu, Jinran, Li, Weide, Wang, You-Gan and Jeng, Dong-Sheng. (2024). Solving the one dimensional vertical suspended sediment mixing equation with arbitrary eddy diffusivity profiles using temporal normalized physics-informed neural networks. Physics of Fluids. 36(1), pp. 1-17. https://doi.org/10.1063/5.0179223Journal article
Issues relating to CAT and Gain in psycho-metric testing of STEM subjects using IRT
Naylor, Wade, Rubab, Sundas, Wang, You-Gan and Qiu, Xuelan. (2024). Issues relating to CAT and Gain in psycho-metric testing of STEM subjects using IRT. In In White, Peta J., Tytler, Russell, Ferguson, Joseph Paul and Clark, Cripps John (Ed.). Methodological approaches to STEM education research ; volume 5 pp. 362-382 Cambridge Scholars Publishing.Book chapter
Robust augmented estimation for hourly PM 2.5 using heteroscedastic spatiotemporal models
Song, Yanan, Wu, Jinran, Fu, Liya and Wang, You-Gan. (2023). Robust augmented estimation for hourly PM 2.5 using heteroscedastic spatiotemporal models. Stochastic Environmental Research and Risk Assessment. 38, pp. 1423-1451. https://doi.org/10.1007/s00477-023-02628-5Journal article
Predictions of runoff and sediment discharge at the lower Yellow River Delta using basin irrigation data
Zhao, Shangrui, Yang, Zhen, Zhang, Shaotong, Wu, Jinran, Zhao, Zixi, Jeng, Dong-Sheng and Wang, You-Gan. (2023). Predictions of runoff and sediment discharge at the lower Yellow River Delta using basin irrigation data. Ecological Informatics. 78, pp. 1-21. https://doi.org/10.1016/j.ecoinf.2023.102385Journal article
Forecasting stock closing prices with an application to airline company data
Xu, Xu, Zhang, Yixiang, McGrory, Clare Anne, Wu, Jinran and Wang, You-Gan. (2023). Forecasting stock closing prices with an application to airline company data. Data Science and Management. 6(4), pp. 239-246. https://doi.org/10.1016/j.dsm.2023.09.005Journal article
Inferring circadian gene regulatory relationships from gene expression data with a hybrid framework
Hu, Shuwen, Jing, Yi, Li, Tao, Wang, You-Gan, Liu, Zhenyu, Gao, Jing and Tian, Yu-Chu. (2023). Inferring circadian gene regulatory relationships from gene expression data with a hybrid framework. BMC Bioinformatics. 24(1), p. Article 362. https://doi.org/10.1186/s12859-023-05458-yJournal article
Mixture extreme learning machine algorithm for robust regression
Zhao, Shangrui, Chen, Xuan-Ang, Wu, Jinran and Wang, You-Gan. (2023). Mixture extreme learning machine algorithm for robust regression. Knowledge-Based Systems. 280, p. Article 111033. https://doi.org/10.1016/j.knosys.2023.111033Journal article
Enhancing Feature Selection Optimization for COVID-19 Microarray Data
Krishanthi, Gayani, Jayetileke, Harshanie L., Wu, Jinran, Liu, Chan-Juan and Wang, You-Gan. (2023). Enhancing Feature Selection Optimization for COVID-19 Microarray Data. COVID. 3(9), pp. 1336-1355. https://doi.org/10.3390/covid3090093Journal article
Improved prediction of local significant wave height by considering the memory of past winds
Zhang, Shaotong, Yang, Zhen, Zhang, Yaqi, Zhao, Shangrui, Wu, Jinran, Wang, Chenghao, Wang, You-Gan, Jeng, Dong-Sheng, Nielsen, Peter, Li, Guangxue and Li, Sanzhong. (2023). Improved prediction of local significant wave height by considering the memory of past winds. Water Resources Research. 59(8), p. Article e2023WR034974. https://doi.org/10.1029/2023WR034974Journal article
Progressive-fidelity computation of the genetic algorithm for energy-efficient virtual machine placement in cloud data centers
Ding, Zhe, Tian, Yu-Chu, Wang, You-Gan, Zhang, Weizhe and Yu, Zu-Guo. (2023). Progressive-fidelity computation of the genetic algorithm for energy-efficient virtual machine placement in cloud data centers. Applied Soft Computing. 146, pp. 1-13. https://doi.org/10.1016/j.asoc.2023.110681Journal article
An Iterative Scale Purification Procedure on lz for the Detection of Aberrant Responses
Qiu, Xuelan, Huang, Sheng-Yun, Wang, Wen-Chung and Wang, You-Gan. (2024). An Iterative Scale Purification Procedure on lz for the Detection of Aberrant Responses. Multivariate Behavioral Research. 59(1), pp. 62-77. https://doi.org/10.1080/00273171.2023.2211564Journal article
Robust adaptive rescaled lncosh neural network regression toward time-series forecasting
Yang, Yang, Zhou, Hu, Wu, Jinran, Ding, Zhe, Tian, Yu-Chu, Yue, Dong and Wang, You-Gan. (2023). Robust adaptive rescaled lncosh neural network regression toward time-series forecasting. IEEE Transactions on Systems, Man and Cybernetics: Systems. 53(9), pp. 5658-5669. https://doi.org/10.1109/TSMC.2023.3272880Journal article
A hybrid deep learning framework for air quality prediction with spatial autocorrelation during the COVID‑19 pandemic
Zhao, Zixi, Wu, Jinran, Cai, Fengjing, Zhang, Shaotong and Wang, You-Gan. (2023). A hybrid deep learning framework for air quality prediction with spatial autocorrelation during the COVID‑19 pandemic. Scientific Reports. 13(1), pp. 1-17. https://doi.org/10.1038/s41598-023-28287-8Journal article
A novel deep learning framework with a COVID-19 adjustment for electricity demand forecasting
Cui, Zhesen, Wu, Jinran, Lian, Wei and Wang, You-Gan. (2023). A novel deep learning framework with a COVID-19 adjustment for electricity demand forecasting. Energy Reports. 9, pp. 1887-1895. https://doi.org/10.1016/j.egyr.2023.01.019Journal article
Robust regression for electricity demand forecasting against cyberattacks
VandenHeuvel, Daniel, Wu, Jinran and Wang, You-Gan. (2023). Robust regression for electricity demand forecasting against cyberattacks. International Journal of Forecasting. 39(4), pp. 1573-1592. https://doi.org/10.1016/j.ijforecast.2022.10.004Journal article
An evaluation of the impact of COVID-19 lockdowns on electricity demand
Wu, Jinran, Levi, Noa, Araujo, Robyn and Wang, You-Gan. (2023). An evaluation of the impact of COVID-19 lockdowns on electricity demand. Electric Power Systems Research. 216, p. Article 109015. https://doi.org/10.1016/j.epsr.2022.109015Journal article
QQLMPA : A quasi-opposition learning and Q-learning based marine predators algorithm
Zhao, Shangrui, Wu, Yulu, Tan, Shuang, Wu, Jinran, Cui, Zhesen and Wang, You-Gan. (2023). QQLMPA : A quasi-opposition learning and Q-learning based marine predators algorithm. Expert Systems with Applications. 213(Part C), p. Article 119246. https://doi.org/10.1016/j.eswa.2022.119246Journal article
An effective distance-based centrality approach for exploring the centrality of maritime shipping network
Kuang, Zengjie, Liu, Chanjuan, Wu, Jinran and Wang, You-Gan. (2022). An effective distance-based centrality approach for exploring the centrality of maritime shipping network. Heliyon. 8(11), p. Article e11474. https://doi.org/10.1016/j.heliyon.2022.e11474Journal article
Accelerated computation of the genetic algorithm for energy-efficient virtual machine placement in data centers
Ding, Zhe, Tian, Yu-Chu, Wang, You-Gan, Zhang, Wei-Zhe and Yu, Zu-Guo. (2023). Accelerated computation of the genetic algorithm for energy-efficient virtual machine placement in data centers. Neural Computing and Applications. 35(7), pp. 5421-5436. https://doi.org/10.1007/s00521-022-07941-8Journal article
A working likelihood approach to support vector regression with a data-driven insensitivity parameter
Wu, Jinran and Wang, You-Gan. (2023). A working likelihood approach to support vector regression with a data-driven insensitivity parameter. International Journal of Machine Learning and Cybernetics. 14(3), pp. 929-945. https://doi.org/10.1007/s13042-022-01672-xJournal article
Predictions of machine learning with mixed-effects in analyzing longitudinal data under model misspecification
Hu, Shuwen, Wang, You-Gan, Drovandi, Christopher and Cao, Taoyun. (2023). Predictions of machine learning with mixed-effects in analyzing longitudinal data under model misspecification. Statistical Methods and Applications. 32(2), pp. 681-711. https://doi.org/10.1007/s10260-022-00658-xJournal article
A statistical learning framework for spatial-temporal feature selection and application to air quality index forecasting
Zhao, Zixi, Wu, Jinran, Cai, Fengjing, Zhang, Shaotong and Wang, You-Gan. (2022). A statistical learning framework for spatial-temporal feature selection and application to air quality index forecasting. Ecological Indicators. 144, p. Article 109416. https://doi.org/10.1016/j.ecolind.2022.109416Journal article
A new algorithm for support vector regression with automatic selection of hyperparameters
Wang, You-Gan, Wu, Jinran, Hu, Zhi-Hua and McLachlan, Geoffrey J.. (2023). A new algorithm for support vector regression with automatic selection of hyperparameters. Pattern Recognition. 133, p. Article 108989. https://doi.org/10.1016/j.patcog.2022.108989Journal article
Spatio-temporal quantile regression analysis revealing more nuanced patterns of climate change : A study of long-term daily temperature in Australia
Duan, Qibin, McGrory, Clare A., Brown, Glenn, Mengersen, Kerrie and Wang, You-Gan. (2022). Spatio-temporal quantile regression analysis revealing more nuanced patterns of climate change : A study of long-term daily temperature in Australia. PLoS ONE. 17, p. Article e0271457. https://doi.org/10.1371/journal.pone.0271457Journal article
A new mixture copula model for spatially correlated multiple variables with an environmental application
Abraj, Mohomed, Wang, You-Gan and Thompson, M. Helen. (2022). A new mixture copula model for spatially correlated multiple variables with an environmental application. Scientific Reports. 12(1), p. Article 13867. https://doi.org/10.1038/s41598-022-18007-zJournal article
Iterative learning in support vector regression with heterogeneous variances
Wu, Jinran and Wang, You-Gan. (2023). Iterative learning in support vector regression with heterogeneous variances. IEEE Transactions on Emerging Topics in Computational Intelligence. 7(2), pp. 513-522. https://doi.org/10.1109/TETCI.2022.3182725Journal article
Distribution, transfer process and influence factors of phosphorus at sediment-water interface in the Huaihe River
Xu, Jing, Mo, Yuming, Tang, Hongwu, Wang, Kun, Ji, Qingfeng, Zhang, Pei, Wang, You-Gan, Jin, Guangqiu and Li, Ling. (2022). Distribution, transfer process and influence factors of phosphorus at sediment-water interface in the Huaihe River. Journal of Hydrology. 612, p. Article 128079. https://doi.org/10.1016/j.jhydrol.2022.128079Journal article
An opposition learning and spiral modelling based arithmetic optimization algorithm for global continuous optimization problems
Yang, Yang, Gao, Yuchao, Tan, Shuang, Zhao, Shangrui, Wu, Jinran, Gao, Shangce, Zhang, Tengfei, Tian, Yu-Chu and Wang, You-Gan. (2022). An opposition learning and spiral modelling based arithmetic optimization algorithm for global continuous optimization problems. Engineering Applications of Artificial Intelligence. 113, p. Article 104981. https://doi.org/10.1016/j.engappai.2022.104981Journal article
A novel decompose-cluster-feedback algorithm for load forecasting with hierarchical structure
Yang, Yang, Zhou, Hu, Wu, Jinran, Liu, Chan-Juan and Wang, You-Gan. (2022). A novel decompose-cluster-feedback algorithm for load forecasting with hierarchical structure. International Journal of Electrical Power and Energy Systems. 142(Part A), p. Article 108249. https://doi.org/10.1016/j.ijepes.2022.108249Journal article
Energy-efficient virtual machine placement in data centres via an accelerated Genetic Algorithm with improved fitness computation
Hormozi, Elham, Hu, Shuwen, Ding, Zhe, Tian, Yu-Chu, Wang, You-Gan, Yu, Zu-Guo and Zhang, Weizhe. (2022). Energy-efficient virtual machine placement in data centres via an accelerated Genetic Algorithm with improved fitness computation. Energy. 252, pp. 1-15. https://doi.org/10.1016/j.energy.2022.123884Journal article
A physics-informed statistical learning framework for forecasting local suspended sediment concentrations in marine environment
Zhang, Shaotong, Wu, Ryan, Wang, You-Gan, Jeng, Dong-Sheng and Li, Guangxue. (2022). A physics-informed statistical learning framework for forecasting local suspended sediment concentrations in marine environment. Water Research. 218, pp. 1-16. https://doi.org/10.1016/j.watres.2022.118518Journal article
Robustified extreme learning machine regression with applications in outlier-blended wind-speed forecasting
Yang, Yang, Zhou, Hu, Wu, Ryan, Ding, Zhe and Wang, You-Gan. (2022). Robustified extreme learning machine regression with applications in outlier-blended wind-speed forecasting. Applied Soft Computing. 122, pp. 1-14. https://doi.org/10.1016/j.asoc.2022.108814Journal article
Packing computing servers into the vessel of an underwater data center considering cooling efficiency
Hu, Zhi-Hua, Zheng, Yu-Xin and Wang, You-Gan. (2022). Packing computing servers into the vessel of an underwater data center considering cooling efficiency. Applied Energy. 314, p. Article 118986. https://doi.org/10.1016/j.apenergy.2022.118986Journal article
Does one subgenome become dominant in the formation and evolution of a polyploid?
Liu, Chunji and Wang, You-Gan. (2023). Does one subgenome become dominant in the formation and evolution of a polyploid? Annals of Botany. 131(1), pp. 11-16. https://doi.org/10.1093/aob/mcac024Journal article
Optimal battery capacity in electrical load scheduling
Duan, Qibin, Wu, Jinran and Wang, You-Gan. (2022). Optimal battery capacity in electrical load scheduling. Journal of Energy Storage. 50, p. Article 104190. https://doi.org/10.1016/j.est.2022.104190Journal article
A modified memetic algorithm with an application to gene selection in a sheep body weight study
Miao, Maoxuan, Wu, Jinran, Cai, Fengjing and Wang, You-Gan. (2022). A modified memetic algorithm with an application to gene selection in a sheep body weight study. Animals. 12(2), p. Article 201. https://doi.org/10.3390/ani12020201Journal article
Robust approach for variable selection with high dimensional longitudinal data analysis
Fu, Liya, Li, Jiaqi and Wang, You-Gan. (2021). Robust approach for variable selection with high dimensional longitudinal data analysis. Statistics in Medicine. 40(30), pp. 6835-6854. https://doi.org/10.1002/sim.9213Journal article
Robust penalized extreme learning machine regression with applications in wind speed forecasting
Yang, Yang, Zhou, Hu, Gao, Yuchao, Wu, Jinran, Wang, You-Gan and Fu, Liya. (2022). Robust penalized extreme learning machine regression with applications in wind speed forecasting. Neural Computing and Applications. 34(1), pp. 391-407. https://doi.org/10.1007/s00521-021-06370-3Journal article
A robust and efficient variable selection method for linear regression
Yang, Zhuoran, Fu, Liya, Wang, You-Gan, Dong, Zhixiong and Jiang, Yunlu. (2021). A robust and efficient variable selection method for linear regression. Journal of Applied Statistics. 49(14), pp. 3677-3692. https://doi.org/10.1080/02664763.2021.1962259Journal article
An efficient Gehan-type estimation for the accelerated failure time model with clustered and censored data
Fu, Liya, Yang, Zhuoran, Zhou, Yan and Wang, You-Gan. (2021). An efficient Gehan-type estimation for the accelerated failure time model with clustered and censored data. Lifetime Data Analysis. 27(4), pp. 679-709. https://doi.org/10.1007/s10985-021-09526-4Journal article
Ridgelized Hotelling's T2 test on mean vectors of large dimension
Ha, Gao-Fan, Zhang, Qiuyan, Bai, Zhidong and Wang, You-Gan. (2022). Ridgelized Hotelling's T2 test on mean vectors of large dimension. Random Matrices: Theory and Application. 11(1), p. Article 2250011. https://doi.org/10.1142/S2010326322500113Journal article
Performance of variance estimators in the analysis of longitudinal data with a large cluster size
Hu, Shuwen, Wang, You-Gan and Fu, Liya. (2022). Performance of variance estimators in the analysis of longitudinal data with a large cluster size. Journal of Statistical Computation and Simulation. 92(1), pp. 1-18. https://doi.org/10.1080/00949655.2021.1929983Journal article
Robust regression with asymmetric loss functions
Fu, Liya and Wang, You-Gan. (2021). Robust regression with asymmetric loss functions. Statistical Methods in Medical Research. 30(8), pp. 1800-1815. https://doi.org/10.1177/09622802211012012Journal article
Predictive regression with p-lags and order-q autoregressive predictors
Jayetileke, Harshanie L., Wang, You-Gan and Zhu, Min. (2021). Predictive regression with p-lags and order-q autoregressive predictors. Journal of Empirical Finance. 62, pp. 282-293. https://doi.org/10.1016/j.jempfin.2021.04.006Journal article
Parameter estimation for univariate skew-normal distribution based on the modified empirical characteristic function
Hou, Gege, Xu, Ancha, Cai, Fengjing and Wang, You-Gan. (2022). Parameter estimation for univariate skew-normal distribution based on the modified empirical characteristic function. Communications in Statistics - Theory and Methods. 51(22), pp. 7897-7910. https://doi.org/10.1080/03610926.2021.1883655Journal article
Differences between diploid donors are the main contributing factor for subgenome asymmetry measured in either gene ratio or relative diversity in allopolyploids
Ye, Xueling, Hu, Haiyan, Zhou, Hong, Jiang, Yunfeng, Gao, Shang, Yuan, Zhongwei, Stiller, Jiri, Li, Chengwei, Chen, Guoyue, Liu, Yaxi, Wei, Yuming, Zheng, You-Liang, Wang, You-Gan and Liu, Chunji. (2021). Differences between diploid donors are the main contributing factor for subgenome asymmetry measured in either gene ratio or relative diversity in allopolyploids. Genome. 64(9), pp. 847-856. https://doi.org/10.1139/gen-2020-0024Journal article
A temporal LASSO regression model for the emergency forecasting of the suspended sediment concentrations in coastal oceans: Accuracy and interpretability
Zhang, Shaotong, Wu, Ryan, Jia, Yonggang, Wang, You-Gan, Zhang, Yaqi and Duan, Qibin. (2021). A temporal LASSO regression model for the emergency forecasting of the suspended sediment concentrations in coastal oceans: Accuracy and interpretability. Engineering Applications of Artificial Intelligence. 100, pp. 1-13. https://doi.org/10.1016/j.engappai.2021.104206Journal article
Support vector regression with asymmetric loss for optimal electric load forecasting
Wu, Ryan, Wang, You-Gan, Tian, Yu-Chu, Burrage, Kevin and Cao, Taoyun. (2021). Support vector regression with asymmetric loss for optimal electric load forecasting. Energy. 223, p. Article 119969. https://doi.org/10.1016/j.energy.2021.119969Journal article
A working likelihood approach for robust regression
Fu, Liya, Wang, You-Gan and Cai, Fengjing. (2020). A working likelihood approach for robust regression. Statistical Methods in Medical Research. 29(12), pp. 3641-3652. https://doi.org/10.1177/0962280220936310Journal article
Influential factors on Chinese airlines’ profitability and forecasting methods
Xu, Xu, McGrory, Clare Anne, Wang, You-Gan and Wu, Jinran. (2021). Influential factors on Chinese airlines’ profitability and forecasting methods. Journal of Air Transport Management. 91, p. Article 101969. https://doi.org/10.1016/j.jairtraman.2020.101969Journal article
Inclusion of features derived from a mixture of time window sizes improved classification accuracy of machine learning algorithms for sheep grazing behaviours
Hu, Shuwen, Ingham, Aaron, Schmoelzl, Sabine, McNally, Jody, Little, Bryce, Smith, Daniel, Bishop-Hurley, Greg, Wang, You-Gan and Li, Yutao. (2020). Inclusion of features derived from a mixture of time window sizes improved classification accuracy of machine learning algorithms for sheep grazing behaviours. Computers and Electronics in Agriculture. 179, p. Article 105857. https://doi.org/10.1016/j.compag.2020.105857Journal article
Efficient and doubly-robust methods for variable selection and parameter estimation in longitudinal data analysis
Fu, Liya, Yang, Zhuoran, Cai, Fengjing and Wang, You-Gan. (2021). Efficient and doubly-robust methods for variable selection and parameter estimation in longitudinal data analysis. Computational Statistics. 36(2), pp. 781-804. https://doi.org/10.1007/s00180-020-01038-3Journal article
Multi-horizon accommodation demand forecasting : A New Zealand case study
Zhu, Min, Wu, Jinran and Wang, You-Gan. (2021). Multi-horizon accommodation demand forecasting : A New Zealand case study. International Journal of Tourism Research. 23(3), pp. 442-453. https://doi.org/10.1002/jtr.2416Journal article
Robust estimation procedure for autoregressive models with heterogeneity
Callens, A., Wang, Y.-G., Fu, L. and Liquet, B.. (2021). Robust estimation procedure for autoregressive models with heterogeneity. Environmental Modeling and Assessment. 26(3), pp. 313-323. https://doi.org/10.1007/s10666-020-09730-wJournal article
Maritime convection and fluctuation between Vietnam and China : A data-driven study
Hu, Zhi-Hua, Liu, Chan-Juan, Chen, Wanting, Wang, You-Gan and Wei, Chen. (2020). Maritime convection and fluctuation between Vietnam and China : A data-driven study. Research in Transportation Business and Management. 34, pp. 1-15. https://doi.org/10.1016/j.rtbm.2019.100414Journal article
Natural mortality estimation using tree-based ensemble learning models
Liu, Chanjuan, Zhou, Shijie, Wang, You-Gan and Hu, Zhi-Hua. (2020). Natural mortality estimation using tree-based ensemble learning models. ICES Journal of Marine Science. 77(4), pp. 1414-1426. https://doi.org/10.1093/icesjms/fsaa058Journal article
Identifying barley pan-genome sequence anchors using genetic mapping and machine learning
Gao, Shang, Wu, Ryan, Stiller, Jiri, Zheng, Zhi, Zhou, Meixue, Wang, You-Gan and Liu, Chunji. (2020). Identifying barley pan-genome sequence anchors using genetic mapping and machine learning. Theoretical and Applied Genetics. 133(9), pp. 2535-2544. https://doi.org/10.1007/s00122-020-03615-yJournal article
An improved firefly algorithm for global continuous optimization problems
Wu, Jinran, Wang, You-Gan, Burrage, Kevin, Tian, Yu-Chu, Lawson, Brodie and Ding, Zhe. (2020). An improved firefly algorithm for global continuous optimization problems. Expert Systems with Applications. 149, p. Article 113340. https://doi.org/10.1016/j.eswa.2020.113340Journal article
Response of sediments and phosphorus to catchment characteristics and human activities under different rainfall patterns with Bayesian Networks
Jin, Guangqiu, Xu, Jing, Mo, Yuming, Tang, Hongwu, Wei, Tong, Wang, You-Gan and Li, Ling. (2020). Response of sediments and phosphorus to catchment characteristics and human activities under different rainfall patterns with Bayesian Networks. Journal of Hydrology. 584, p. Article 124695. https://doi.org/10.1016/j.jhydrol.2020.124695Journal article
Exact algorithms for energy-efficient virtual machine placement in data centers
Wei, Chen, Hu, Zhi-Hua and Wang, You-Gan. (2020). Exact algorithms for energy-efficient virtual machine placement in data centers. Future Generation Computer Systems. 106, pp. 77-91. https://doi.org/10.1016/j.future.2019.12.043Journal article
A review of the Behrens–Fisher problem and some of its analogs : Does the same size fit all?
Paul, Sudhir, Wang, You-Gan and Ullah, Insha. (2019). A review of the Behrens–Fisher problem and some of its analogs : Does the same size fit all? Revstat Statistical Journal. 17(4), p. 563–597.Journal article
Bias reduction in the two-stage method for degradation data analysis
Xu, Ancha, Wang, You-Gan, Zheng, Shurong and Cai, Fengjing. (2020). Bias reduction in the two-stage method for degradation data analysis. Applied Mathematical Modelling. 77(Part 2), pp. 1413-1424. https://doi.org/10.1016/j.apm.2019.08.024Journal article
Response of water quality to land use and sewage outfalls in different seasons
Xu, Jing, Jin, Guangqiu, Tang, Hongwu, Mo, Yuming, Wang, You-Gan and Li, Ling. (2019). Response of water quality to land use and sewage outfalls in different seasons. Science of the Total Environment. 696, p. Article 134014. https://doi.org/10.1016/j.scitotenv.2019.134014Journal article
Sweepstakes reproductive success is absent in a New Zealand snapper (Chrysophrus auratus) population protected from fishing despite “tiny” Ne/N ratios elsewhere
Jones, Andy, Lavery, Shane D., Le Port, Agnès, Wang, You-Gan, Blower, Dean and Ovenden, Jennifer. (2019). Sweepstakes reproductive success is absent in a New Zealand snapper (Chrysophrus auratus) population protected from fishing despite “tiny” Ne/N ratios elsewhere. Molecular Ecology. 28(12), pp. 2986-2995. https://doi.org/10.1111/mec.15130Journal article
Significance tests for analyzing gene expression data with small sample sizes
Ullah, Insha, Paul, Sudhir, Hong, Zhenjie and Wang, You-Gan. (2019). Significance tests for analyzing gene expression data with small sample sizes. Bioinformatics. 35(20), pp. 3996-4003. https://doi.org/10.1093/bioinformatics/btz189Journal article
Small sample bias correction or bias reduction?
Zhang, Xuemao, Paul, Sudhir and Wang, You-Gan. (2021). Small sample bias correction or bias reduction? Communications in Statistics: Simulation and Computation. 50(4), pp. 1165-1177. https://doi.org/10.1080/03610918.2019.1577976Journal article
Profile-guided three-phase virtual resource management for energy efficiency of data centers
Ding, Zhe, Tian, Yu-Chu, Tang, Maolin, Li, Yuefeng, Wang, You-Gan and Zhou, Chunjie. (2020). Profile-guided three-phase virtual resource management for energy efficiency of data centers. IEEE Transactions on Industrial Electronics. 67(3), pp. 2460-2468. https://doi.org/10.1109/TIE.2019.2902786Journal article
Incorporating social objectives in evaluating sustainable fisheries harvest strategy
Wu, Jiafeng, Wang, Na, Hu, Zhi-Hua, Hong, Zhenjie and Wang, You-Gan. (2019). Incorporating social objectives in evaluating sustainable fisheries harvest strategy. Environmental Modeling and Assessment. 24(4), pp. 381-386. https://doi.org/10.1007/s10666-019-9651-9Journal article
Robust Estimation Using Modified Huber’s Functions With New Tails
Jiang, Yunlu, Wang, You-Gan, Fu, Liya and Wang, Xueqin. (2019). Robust Estimation Using Modified Huber’s Functions With New Tails. Technometrics. 61(1), pp. 111-122. https://doi.org/10.1080/00401706.2018.1470037Journal article
A new hybrid model to predict the electrical load in five states of Australia
Wu, Jinran, Cui, Zhesen, Chen, Yanyan, Kong, Demeng and Wang, You-Gan. (2019). A new hybrid model to predict the electrical load in five states of Australia. Energy. 166, pp. 598-609. https://doi.org/10.1016/j.energy.2018.10.076Journal article
Genomic prediction of breeding values using a subset of SNPs identified by three machine learning methods
Li, Bo, Zhang, Nanxi, Wang, You-Gan, George, Andrew W., Reverter, Antonio and Li, Yutao. (2018). Genomic prediction of breeding values using a subset of SNPs identified by three machine learning methods. Frontiers in Genetics. 9, p. Article 237. https://doi.org/10.3389/fgene.2018.00237Journal article
Assessing temporal variations of Ammonia Nitrogen concentrations and loads in the Huaihe River Basin in relation to policies on pollution source control
Xu, Jing, Jin, Guangqiu, Tang, Hongwu, Zhang, Pei, Wang, Shen, Wang, You-Gan and Li, Ling. (2018). Assessing temporal variations of Ammonia Nitrogen concentrations and loads in the Huaihe River Basin in relation to policies on pollution source control. Science of the Total Environment. 642, pp. 1386-1395. https://doi.org/10.1016/j.scitotenv.2018.05.395Journal article
Dividend growth and equity premium predictability
Zhu, Min, Chen, Rui, Du, Ke and Wang, You-Gan. (2018). Dividend growth and equity premium predictability. International Review of Economics and Finance. 56, pp. 125-137. https://doi.org/10.1016/j.iref.2017.10.020Journal article
Robust Regression with Data-Dependent Regularization Parameters and Autoregressive Temporal Correlations
Wang, Na, Wang, You-Gan, Hu, Shuwen, Hu, Zhi-Hua, Xu, Jing, Tang, Hongwu and Jin, Guangqiu. (2018). Robust Regression with Data-Dependent Regularization Parameters and Autoregressive Temporal Correlations. Environmental Modeling and Assessment. 23(6), pp. 779-786. https://doi.org/10.1007/s10666-018-9605-7Journal article
Working correlation structure selection in generalized estimating equations
Fu, Liya, Hao, Yangyang and Wang, You-Gan. (2018). Working correlation structure selection in generalized estimating equations. Computational Statistics. 33(2), pp. 983-996. https://doi.org/10.1007/s00180-018-0800-4Journal article
Analysis of spatial data with a nested correlation structure
Adegboye, Oyelola, Leung, Denis and Wang, You-Gan. (2018). Analysis of spatial data with a nested correlation structure. Journal of the Royal Statistical Society Series C: Applied Statistics. 67(2), pp. 329-354. https://doi.org/10.1111/rssc.12230Journal article
Blockwise AICc for model selection in generalized linear models
Song, Guofeng, Dong, Xiaogang, Wu, Jiafeng and Wang, You-Gan. (2017). Blockwise AICc for model selection in generalized linear models. Environmental Modeling and Assessment. 22(6), pp. 523-533. https://doi.org/10.1007/s10666-017-9552-8Journal article
Selection of working correlation structure in generalized estimating equations
Wang, You-Gan and Fu, Liya. (2017). Selection of working correlation structure in generalized estimating equations. Statistics in Medicine. 36(14), pp. 2206-2219. https://doi.org/10.1002/sim.7262Journal article
Variable selection in rank regression for analyzing longitudinal data
Fu, Liya and Wang, You-Gan. (2018). Variable selection in rank regression for analyzing longitudinal data. Statistical Methods in Medical Research. 27(8), pp. 2447-2458. https://doi.org/10.1177/0962280216681347Journal article
A comment on Koh’s “The optimal design of fallible organizations : Invariance of optimal decision threshold and uniqueness of hierarchy and polyarchy structures”
Zhu, Min, Liu, Chang and Wang, You-Gan. (2017). A comment on Koh’s “The optimal design of fallible organizations : Invariance of optimal decision threshold and uniqueness of hierarchy and polyarchy structures”. Social Choice and Welfare. 48(2), pp. 385-392. https://doi.org/10.1007/s00355-016-1009-5Journal article
The Buckley–James estimator and induced smoothing
Wang, You-Gan, Zhao, Yudong and Fu, Liya. (2016). The Buckley–James estimator and induced smoothing. Australian and New Zealand Journal of Statistics. 58(2), pp. 211-225. https://doi.org/10.1111/anzs.12155Journal article
Movement and growth of the coral reef holothuroids Bohadschia argus and Thelenota ananas
Purcell, Steven W., Piddocke, Toby P., Dalton, Steven J. and Wang, You-Gan. (2016). Movement and growth of the coral reef holothuroids Bohadschia argus and Thelenota ananas. Marine Ecology Progress Series. 551, pp. 201-214. https://doi.org/10.3354/meps11720Journal article
Mixture of time-dependent growth models with an application to blue swimmer crab length-frequency data
Lloyd-Jones, Luke R., Nguyen, Hien D., McLachlan, Geoffrey J., Sumpton, Wayne and Wang, You-Gan. (2016). Mixture of time-dependent growth models with an application to blue swimmer crab length-frequency data. Biometrics. 72(4), pp. 1255-1265. https://doi.org/10.1111/biom.12531Journal article
Improved confidence intervals for the linkage disequilibrium method for estimating effective population size
Jones, A. T., Ovenden, J. R. and Wang, Y.-G.. (2016). Improved confidence intervals for the linkage disequilibrium method for estimating effective population size. Heredity. 117(4), pp. 217-223. https://doi.org/10.1038/hdy.2016.19Journal article
Otolith morphology of four mackerel species (Scomberomorus spp.) in Australia : Species differentiation and prediction for fisheries monitoring and assessment
Zischke, Mitchell T., Litherland, Lenore, Tilyard, Benjamin R., Stratford, Nicholas J., Jones, Ebony L. and Wang, You-Gan. (2016). Otolith morphology of four mackerel species (Scomberomorus spp.) in Australia : Species differentiation and prediction for fisheries monitoring and assessment. Fisheries Research. 176, pp. 39-47. https://doi.org/10.1016/j.fishres.2015.12.003Journal article
Maximum likelihood estimation of natural mortality and quantification of temperature effects on catchability of brown tiger prawn (penaeus esculentus) in Moreton Bay (Australia) using logbook data
Kienzle, Marco, Sterling, David, Zhou, Shijie and Wang, You-Gan. (2016). Maximum likelihood estimation of natural mortality and quantification of temperature effects on catchability of brown tiger prawn (penaeus esculentus) in Moreton Bay (Australia) using logbook data. Ecological Modelling. 322, pp. 1-9. https://doi.org/10.1016/j.ecolmodel.2015.11.008Journal article
Efficient parameter estimation via Gaussian copulas for quantile regression with longitudinal data
Fu, Liya and Wang, You-Gan. (2016). Efficient parameter estimation via Gaussian copulas for quantile regression with longitudinal data. Journal of Multivariate Analysis. 143, pp. 492-502. https://doi.org/10.1016/j.jmva.2015.07.004Journal article
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