Tutorial: A trade-off between flexibility and domain constraints in ordinal regression
##article.authors##
-
Akifumi Okuno
Institute of Statistical Mathematics, School of Statistical Thinking
https://researchmap.jp/aokuno
-
Kazuharu Harada
Tokyo Medical University, Department of Health Data Science
https://researchmap.jp/kazuharu.harada
DOI:
https://doi.org/10.51094/jxiv.549Keywords:
Non-Proportional Odds Model, Neural Network, Interpretability, Monotonicity, Survival AnalysisAbstract
本稿はニューラルネットを利用した順序回帰に関する我々の英文プレプリント: Okuno and Harada (2023) の解説です．解説の平易さを優先するため，より厳密な記述については原著論文をご参照ください．
Conflicts of Interest Disclosure
No conflict of interest.Downloads *Displays the aggregated results up to the previous day.
Download data is not yet available.
References
Okuno, A. and Harada, K. (2023). An interpretable neural network-based non-proportional odds model for ordinal regression. https://arxiv.org/abs/2303.17823
Downloads
Posted
Submitted: 2023-11-01 15:54:10 UTC
Published: 2023-11-06 11:15:02 UTC
Section
Information Sciences
License
Copyright (c) 2023
Akifumi Okuno
Kazuharu Harada
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
