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A generative Markov model for bowling scores
| Content Provider | Scilit |
|---|---|
| Author | Derwerken, Douglas Van Kenter, Franklin |
| Copyright Year | 2018 |
| Abstract | We create a data-driven Markov model for generating 10-pin bowling scores from the Professional Bowlers Association. The model incorporates insights from the hot hand literature and makes use of Bayesian shrinkage. For realistic sample sizes, the proposed approach is superior to modeling via the empirical distribution. Investigation of player-specific model components allows for a richer comparison of players than is possible using raw game scores alone. An additional feature of the model is that it can be used for in-game prediction. |
| Related Links | http://www.degruyter.com/downloadpdf/j/jqas.ahead-of-print/jqas-2017-0081/jqas-2017-0081.xml |
| Ending Page | 226 |
| Page Count | 14 |
| Starting Page | 213 |
| ISSN | 21946388 |
| e-ISSN | 15590410 |
| DOI | 10.1515/jqas-2017-0081 |
| Journal | Journal of Quantitative Analysis in Sports |
| Issue Number | 4 |
| Volume Number | 14 |
| Language | English |
| Publisher | Walter de Gruyter GmbH |
| Publisher Date | 2018-11-27 |
| Access Restriction | Open |
| Subject Keyword | Journal of Quantitative Analysis in Sports Operations Research and Management Science Bayesian Hierarchical Model Bowling Hot Hand Markov Model Journal: Journal of Quantitative Analysis in Sports, Vol- 14, Issue- 1 |
| Content Type | Text |
| Resource Type | Article |
| Subject | 3300/3301 1800/1801 |