Deep learning for spatio‐temporal modeling: Dynamic traffic flows and high frequency trading-Reference-Cited by-同舟云学术

Deep learning for spatio‐temporal modeling: Dynamic traffic flows and high frequency trading

Published:2018-09-24 Issue:3 Volume:35 Page:788-807
ISSN:1524-1904
Container-title:Applied Stochastic Models in Business and Industry
language:en
Short-container-title:Appl Stochastic Models Bus Ind

Author:

Dixon Matthew F.¹,Polson Nicholas G.²,Sokolov Vadim O.³^ORCID

Affiliation:

1. Stuart School of Business Illinois Institute of Technology Chicago Illinois

2. Booth School of Business University of Chicago Chicago Illinois

3. Department of Systems Engineering and Operations Research George Mason University Fairfax Virginia

Publisher

Wiley

Subject

Management Science and Operations Research,General Business, Management and Accounting,Modeling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/asmb.2399

Reference47 articles.

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2. On the representation of continuous functions of many variables by superposition of continuous functions of one variable and addition;Kolmogorov AN;Dokl Akad Nauk SSSR,1957

3. Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)

4. Flexible integro-difference equation modeling for spatio-temporal data

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