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Transportation Marketplace Rate Forecast Using Signature Transform
Feb. 15, 2024, 5:43 a.m. | Haotian Gu, Xin Guo, Timothy L. Jacobs, Philip Kaminsky, Xinyu Li
cs.LG updates on arXiv.org arxiv.org
Abstract: Freight transportation marketplace rates are typically challenging to forecast accurately. In this work, we have developed a novel statistical technique based on signature transforms and have built a predictive and adaptive model to forecast these marketplace rates. Our technique is based on two key elements of the signature transform: one being its universal nonlinearity property, which linearizes the feature space and hence translates the forecasting problem into linear regression, and the other being the signature …
abstract arxiv cs.lg forecast freight key marketplace novel predictive rate stat.ap statistical transportation type work
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