Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks
收藏NBER2026-04-01 更新2026-04-11 收录
下载链接：
https://www.nber.org/papers/w35037
下载链接
链接失效反馈官方服务：
资源简介：
Discrete choice models are fundamental tools in management science, economics, and marketing for understanding and predicting decision-making. Logit-based models are dominant in applied work, largely due to their convenient closed-form expressions for choice probabilities. However, these models
提供机构：
美国国家经济研究局
创建时间：
2026-04-01
