Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations
收藏NBER2019-12-01 更新2025-01-04 收录
下载链接：
https://www.nber.org/papers/w26566
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资源简介：
When researchers develop new econometric methods it is common practice to compare the performance of the new methods to those of existing methods in Monte Carlo studies. The credibility of such Monte Carlo studies is often limited because of the freedom the researcher has in choosing the design. In
提供机构：
美国国家经济研究局
创建时间：
2019-12-01
