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Displaying 1 - 4 of 4
Model trees for identifying exceptional players in the NHL and NBA draft
Author: Liu, Yejia
Date created: 2018-04-10
Inverse reinforcement learning for team sports: Valuing actions and players
Author: Luo, Yudong
Date created: 2020-06-15
Valuation of NHL Draft Picks using Functional Data Analysis
Author: Moreau, Ryker
Date created: 2022-11-28
NHL aging curves using Functional Principal Component Analysis
Author: Cavan, Elijah
Date created: 2022-12-19

Date created

Resource type

  • Thesis (4)

Collection

  • Computing Science Theses (2)
  • Statistics and Actuarial Science Theses (2)

Scholarly level

  • Graduate student (Masters) (2)

Author

  • Cavan, Elijah (1)
  • Liu, Yejia (1)
  • Luo, Yudong (1)
  • Moreau, Ryker (1)

Thesis Advisor

  • B., Swartz, Tim (1)
  • Cao, Jiguo (1)
  • Perera, Gamage (1)
  • Schulte, Oliver (1)
  • Sculte, Oliver (1)

Peer reviewed?

No options apply.

Keywords

  • (-) National Hockey League (4)
  • Functional data analysis (2)
  • Sports analytics (2)
  • Aging curves (1)
  • Draft pick charts (1)
  • Entry draft (1)
  • Inverse Reinforcement Learning (1)
  • Logistic Model Trees (1)
  • M5 regression trees (1)
  • Markov Games (1)
  • National Basketball Association (1)
  • Player evaluation (1)
  • Player ranking (1)
  • Principal components analysis (1)
  • Spearman rank correlation (1)

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