Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject variable selection
Showing results 1 to 8 of 8
| Issue Date | Title | Author(s) |
| 30-May-2024 | Bayesian fractional polynomial approach to quantile regression and variable selection with application in the analysis of blood pressure among US adults | Soomro, S; Yu, K |
| 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 |
| 8-Feb-2018 | Binary Quantile Regression and Variable Selection: A new Approach | Aristodemou, K; He, J; Yu, K |
| 30-Jun-2020 | An elastic-net penalized expectile regression with applications | Xu, QF; Ding, XH; Jiang, C; Yu, K; Shi, L |
| 13-Aug-2022 | Renewable quantile regression for streaming data sets | Jiang, R; Yu, K |
| 21-Dec-2023 | Technical efficiency in banks: a review of methods, recent innovations and future research agenda | Akdeniz, ÖO; Abdou, HA; Hayek, AI; Nwachukwu, JC; Elamer, AA; Pyke, C |
| 12-Apr-2024 | Varying coefficient panel data models and methods under correlated error components: Application to disparities in mental health services in England | Wongsa-art, P; Kim, N; Moscone, F; Xia, Y |
| 4-Dec-2023 | A weighted quantile regression approach for complex high-dimensional heterogeneous data | Xiong, W; Pan, H; Yu, K; Tian, M |
