Reforming the Course of Financial Time Series with Deep Learning Models: evidence from quantile regression

Wang Gao, Linlin Zhang, Qian Cao. Reforming the Course of Financial Time Series with Deep Learning Models: evidence from quantile regression. In 6th International Conference on Data Science and Information Technology, DSIT 2023, Shanghai, China, July 28-30, 2023. pages 249-254, IEEE, 2023. [doi]

@inproceedings{GaoZC23a,
  title = {Reforming the Course of Financial Time Series with Deep Learning Models: evidence from quantile regression},
  author = {Wang Gao and Linlin Zhang and Qian Cao},
  year = {2023},
  doi = {10.1109/DSIT60026.2023.00045},
  url = {https://doi.org/10.1109/DSIT60026.2023.00045},
  researchr = {https://researchr.org/publication/GaoZC23a},
  cites = {0},
  citedby = {0},
  pages = {249-254},
  booktitle = {6th International Conference on Data Science and Information Technology, DSIT 2023, Shanghai, China, July 28-30, 2023},
  publisher = {IEEE},
  isbn = {979-8-3503-0444-2},
}