Machine learning and neural network based model predictions of soybean export shares from <scp>US</scp> Gulf to China-Reference-Cited by-同舟云学术

Machine learning and neural network based model predictions of soybean export shares from US Gulf to China

Published:2022-09-07 Issue:6 Volume:15 Page:707-721
ISSN:1932-1864
Container-title:Statistical Analysis and Data Mining: The ASA Data Science Journal
language:en
Short-container-title:Statistical Analysis

Author:

Awasthi Shantanu¹,SenGupta Indranil¹^ORCID,Wilson William²,Lakkakula Prithviraj²

Affiliation:

1. Department of Mathematics North Dakota State University Fargo ND USA

2. Department of Agribusiness and Applied Economics North Dakota State University Fargo ND USA

Publisher

Wiley

Subject

Computer Science Applications,Information Systems,Analysis

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sam.11595

Reference33 articles.

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2. Non-Gaussian Ornstein-Uhlenbeck-based models and some of their uses in financial economics

3. Modelling by Lévy Processess for Financial Econometrics

4. F.Gale Development of China's feed industry and demand for imported commodities U.S. Department of Agriculture Economic Research Service Feed Outlook No. (FDS‐15K‐01) 2015 p. 26.

5. F.Gale C.Valdes andM.Ash Interdependence of China United States and Brazil in soybean trade U.S. Department of Agriculture Economic Research Service Oil Crops Outlook No. (OCS‐19F‐01) 2019 p. 48.

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