Causal Inference in Network Economics
Optimization and Control
2021-09-24 v1 Artificial Intelligence
Abstract
Network economics is the study of a rich class of equilibrium problems that occur in the real world, from traffic management to supply chains and two-sided online marketplaces. In this paper we explore causal inference in network economics, building on the mathematical framework of variational inequalities, which is a generalization of classical optimization. Our framework can be viewed as a synthesis of the well-known variational inequality formalism with the broad principles of causal inference
Cite
@article{arxiv.2109.11344,
title = {Causal Inference in Network Economics},
author = {Sridhar Mahadevan},
journal= {arXiv preprint arXiv:2109.11344},
year = {2021}
}
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12 pages