Predictive analytics for real-time auction bidding support: a case on fantasy football

DOI10.1007/s43069-022-00160-wzbMath1498.91207OpenAlexW4294609163MaRDI QIDQ2079289

Vittorio Maniezzo, Fabian Andres Aspee Encina

Publication date: 29 September 2022

Published in: SN Operations Research Forum (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s43069-022-00160-w

zbMATH Keywords

Lagrangian relaxationpredictive analyticsprescriptive analyticsonline decision support

Mathematics Subject Classification ID

Auctions, bargaining, bidding and selling, and other market models (91B26) Experimental work for problems pertaining to game theory, economics, and finance (91-05)

Related Items (1)

Competing in daily fantasy sports using generative models

Uses Software

• Scikit
• TensorFlow
• pmdarima

Cites Work

• Unnamed Item
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• Sports scheduling and other topics in sports analytics: a survey with special reference to Latin America
• Beyond crowd judgments: data-driven estimation of market value in association football
• Matheuristics. Algorithms and implementations
• Benders decomposition, Lagrangean relaxation and metaheuristic design
• Mathematical programming as a tool for virtual soccer coaches: a case study of a fantasy sport game
• Client-side Computational Optimization
• Optimization modelling for analyzing fantasy sport games
• Random forests

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