Zhanfeng Wang
Biographic Data
| ID | 8921349 |
|---|---|
| NAME | Zhanfeng Wang |
| GIVEN NAMES | Zhanfeng |
| FAMILY NAME | Wang |
| SIGNATURE | WANG Z |
| AFFILIATIONS | University of Science and Technology of China |
| ORCID | 0000-0001-6722-2298 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Incorporating Graphical Structure of Predictors in Sparse Quantile Regression
Quantile regression in high-dimensional settings is useful in analyzing high-dimensional heterogeneous data. In this article, different from existing methods in quantile regression which treat all the predictors equally with the same priori, we take advantage of the graphical structure among predictors to improve the performance of parameter estimation, model selection, and prediction in sparse quantile regression. It is shown under mild conditio…
No prominent works on this page.
Incorporating Graphical Structure of Predictors in Sparse Quantile Regression
Quantile regression in high-dimensional settings is useful in analyzing high-dimensional heterogeneous data. In this article, different from existing methods in quantile regression which treat all the predictors equally with the same priori, we take advantage of the graphical structure among predictors to improve the performance of parameter estimation, model selection, and prediction in sparse quantile regression. It is shown under mild conditio…
A priori and a posteriori (1 work) · Algorithm (1 work) · Artificial Intelligence (1 work) · Computer Science (1 work) · Control Systems and Identification (1 work) · Data mining (1 work) · Linearization (1 work) · Machine learning (1 work) · Mathematical optimization (1 work) · Mathematics (1 work)