Work

Data-driven prediction for volatile processes based on real option theories

Year: 2019

Type: article

Source: International Journal of Production Economics

DOI: 10.1016/j.ijpe.2019.107605

Authors: Abdullah AlShelahi, Jingxing Wang, Mingdi You, Eunshin Byon, Romesh Saigal

Institutions: University of Michigan, Kuwait University, Ford Motor Company (United States)

Language: English

Topic: Forecasting Techniques and Applications

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: bronze

Funder: National Science Foundation

OpenAlex ID: W2938185264

FWCI: 0.356

Cites: 55

Cited by: 4

Related to: 10