Saved in:
| Main Authors: | , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2409.08172 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866916637455679488 |
|---|---|
| author | Boonstra, Aafko Meester, Ronald |
| author_facet | Boonstra, Aafko Meester, Ronald |
| contents | We develop a statistical framework to evaluate evidence of alleged cheating involving illegal signaling in sports from a forensic perspective. We explain why, instead of a frequentist procedure, a Bayesian approach is called for. We apply this framework to cases of alleged cheating in professional bridge and professional baseball. The diversity of these applications illustrates the generality of the method. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_08172 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A Bayesian framework for analyzing alleged cheating in sports through hidden codes, with applications to bridge and baseball Boonstra, Aafko Meester, Ronald Applications We develop a statistical framework to evaluate evidence of alleged cheating involving illegal signaling in sports from a forensic perspective. We explain why, instead of a frequentist procedure, a Bayesian approach is called for. We apply this framework to cases of alleged cheating in professional bridge and professional baseball. The diversity of these applications illustrates the generality of the method. |
| title | A Bayesian framework for analyzing alleged cheating in sports through hidden codes, with applications to bridge and baseball |
| topic | Applications |
| url | https://arxiv.org/abs/2409.08172 |