Using Random Forests and Simulated Annealing to Predict Probabilities of Election to the Baseball Hall of Fame
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- Gill Ryan & Keating Jerome, 2009. "Assessing Methods for College Football Rankings," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 5(2), pages 1-21, May.
- Itay Fainmesser & Chaim Fershtman & Neil Gandal, 2009.
"A Consistent Weighted Ranking Scheme With an Application to NCAA College Football Rankings,"
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- Fainmesser, Itay & Fershtman, Chaim & Gandal, Neil, 2005. "A Consistent Weighted Ranking Scheme with an Application to NCAA College Football Rankings," CEPR Discussion Papers 5239, C.E.P.R. Discussion Papers.
- Steven Caudill, 2009. "OSU and LSU: easy to spell but did they belong? Using the method of paired comparisons to evaluate the BCS rankings and the NCAA football championship game 2007-08," Applied Economics, Taylor & Francis Journals, vol. 41(25), pages 3225-3230.
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- Lock Dennis & Nettleton Dan, 2014. "Using random forests to estimate win probability before each play of an NFL game," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 10(2), pages 1-9, June.
- Hamrick Jeff & Rasp John, 2011. "Using Local Correlation to Explain Success in Baseball," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(4), pages 1-29, October.
- Mills Brian M. & Salaga Steven, 2011. "Using Tree Ensembles to Analyze National Baseball Hall of Fame Voting Patterns: An Application to Discrimination in BBWAA Voting," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(4), pages 1-32, October.
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