Showing results 9 to 28 of 86
< previous
next >
Issue Date | Title | Author(s) |
9-Mar-2023 | Bayesian scale mixtures of normals linear regression and Bayesian quantile regression with big data and variable selection | Chu, Y; Yin, Z; Yu, K |
23-Nov-2022 | Bayesian Spatio-Temporal Modeling for the Inpatient Hospital Costs of Alcohol-Related Disorders | Yu, Z; Yu, K; Härdle, WK; Zhang, X; Wang, K; Tian, M |
2015 | Bayesian Tobit quantile regression using-prior distribution with ridge parameter | Alhamzawi, R; Yu, K |
8-Feb-2018 | Binary Quantile Regression and Variable Selection: A new Approach | Aristodemou, K; He, J; Yu, K |
2024 | A Censored Quantile Transformation Model for Alzheimer's Disease Data with Multiple Functional Covariates | Ma, S; Tang, ML; Yu, K; Härdle, WK; Wang, Z; Xiong, W; Zhang, X; Wang, K; Zhang, L; Tian, M |
- | Challenges in the application of DCVG-survey to predict coating defect size on pipelines | Yu, K |
2016 | Challenges in the application of DCVG-survey to predict coating defect size on pipelines | Yu, K; Anes-Arteche, Francisco; Bharadwaj, Ujjwal; Lee, Chi; Wang, Bin |
26-Aug-2020 | Classical and Bayesian Inferences in Step-Stress Partially Accelerated Life Tests for Inverse Weibull Distribution Under Type-I Censoring | Akgul, FG; Yu, K; Senoglu, B |
1-Jun-2023 | Complete f-moment convergence for negatively superadditive dependent random variables | Yu, K; Wang, L; Hu, X |
3-Sep-2018 | Composite quantile regression for massive datasets | Jiang, R; Hu, X; Yu, K; Qian, W |
13-Jun-2022 | Computation Efficiency Optimization for RIS-Assisted Millimeter-Wave Mobile Edge Computing Systems | Yu, X; Yu, K; Huang, X; Dang, X; Wang, K; Cai, J |
2017 | Data analysis for improved risk assessment in underground pipelines | Anes-Arteche, Francisco |
2014 | Democracy, Financial Openness, and Global Carbon Dioxide Emissions: Heterogeneity Across Existing Emission Levels | You, W-H; Zhu, H-M; Yu, K; Peng, C |
2015 | Density Regression Based on Proportional Hazards Family | Dang, W; Yu, K |
15-Jul-2021 | A Discrete Density Approach to Bayesian Quantile and Expectile Regression with Discrete Responses | Liu, X; Hu, X; Yu, K |
2018 | Discrete Weibull generalised additive model: an application to count fertility data | Yu, K; Vinciotti, V |
2017 | Discrete Weibull regression model for count data | Kalktawi, Hadeel Saleh |
2016 | Do maternal health problems influence child's worrying status? Evidence from the British Cohort Study | Dai, X; Karl Härdle, W; Yu, K |
23-Apr-2018 | An effective mixed-model for screening differentially expressed genes of breast cancer based on LR-RF | Yu, K |
2016 | The effects of FDI, economic growth and energy consumption on carbon emissions in ASEAN-5: Evidence from panel quantile regression | Zhu, H; Duan, L; Guo, Y; Yu, K |