Regularized Optimal Transport for Inference in Moment Models

This ArXiv article likely presents a novel method for inference within the framework of partially identified moment models. The use of regularized optimal transport suggests a focus on computational efficiency and robustness in handling model uncertainty.

• •Focuses on inference within partially identified moment models.
• •Employs regularized optimal transport for inference.
• •Potentially addresses computational challenges in model uncertainty.