A hybrid random forest to predict soccer matches in international tournaments.
- Published in:
- Journal of Quantitative Analysis in Sports, 2019, v. 15, n. 4, p. 271, doi. 10.1515/jqas-2018-0060
- By:
- Publication type:
- Article
Works matching IS 21946388 AND DT 2019 AND VI 15 AND IP 4
Results: 7
1
2
Frontmatter.
- Published in:
- Journal of Quantitative Analysis in Sports, 2019, v. 15, n. 4, p. i, doi. 10.1515/jqas-2019-frontmatter4
- Publication type:
- Article
3
Combinatorial models of cross-country dual meets: what is a big victory?
- Published in:
- Journal of Quantitative Analysis in Sports, 2019, v. 15, n. 4, p. 345, doi. 10.1515/jqas-2019-0025
- By:
- Publication type:
- Article
4
Bayesian statistics meets sports: a comprehensive review.
- Published in:
- Journal of Quantitative Analysis in Sports, 2019, v. 15, n. 4, p. 289, doi. 10.1515/jqas-2018-0106
- By:
- Publication type:
- Article
5
A point-based Bayesian hierarchical model to predict the outcome of tennis matches.
- Published in:
- Journal of Quantitative Analysis in Sports, 2019, v. 15, n. 4, p. 313, doi. 10.1515/jqas-2018-0008
- By:
- Publication type:
- Article
6
Using a Markov decision process to model the value of the sacrifice bunt.
- Published in:
- Journal of Quantitative Analysis in Sports, 2019, v. 15, n. 4, p. 327, doi. 10.1515/jqas-2017-0092
- By:
- Publication type:
- Article
7
Offensive or defensive play in soccer: a game-theoretical approach.
- Published in:
- Journal of Quantitative Analysis in Sports, 2019, v. 15, n. 4, p. 261, doi. 10.1515/jqas-2017-0071
- By:
- Publication type:
- Article