Multiperiod Corporate Default Prediction Through Neural Parametric Family Learning

Wei-Lun Luo, Yu-Ming Lu, Jheng-Hong Yang, Jin-Chuan Duan, Chuan-Ju Wang. Multiperiod Corporate Default Prediction Through Neural Parametric Family Learning. In Arindam Banerjee 0001, Zhi-Hua Zhou, Evangelos E. Papalexakis, Matteo Riondato, editors, Proceedings of the 2022 SIAM International Conference on Data Mining, SDM 2022, Alexandria, VA, USA, April 28-30, 2022. pages 316-324, SIAM, 2022. [doi]

@inproceedings{LuoLYDW22,
  title = {Multiperiod Corporate Default Prediction Through Neural Parametric Family Learning},
  author = {Wei-Lun Luo and Yu-Ming Lu and Jheng-Hong Yang and Jin-Chuan Duan and Chuan-Ju Wang},
  year = {2022},
  doi = {10.1137/1.9781611977172.36},
  url = {https://doi.org/10.1137/1.9781611977172.36},
  researchr = {https://researchr.org/publication/LuoLYDW22},
  cites = {0},
  citedby = {0},
  pages = {316-324},
  booktitle = {Proceedings of the 2022 SIAM International Conference on Data Mining, SDM 2022, Alexandria, VA, USA, April 28-30, 2022},
  editor = {Arindam Banerjee 0001 and Zhi-Hua Zhou and Evangelos E. Papalexakis and Matteo Riondato},
  publisher = {SIAM},
  isbn = {978-1-61197-717-2},
}