Understanding Significance Tests From a Non-Mixing Markov Chain for Partisan Gerrymandering Claims
Recently, Chikina, Frieze, and Pegden proposed a way to assess significance in a Markov chain without requiring that Markov chain to mix. They presented their theorem as a rigorous test for partisan gerrymandering. We clarify that their ε-outlier test is distinct from a traditional global outlier te...
שמור ב:
| Principais autores: | , |
|---|---|
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Taylor & Francis Group
2019-01-01
|
| סדרה: | Statistics and Public Policy |
| נושאים: | |
| גישה מקוונת: | http://dx.doi.org/10.1080/2330443X.2019.1574687 |
| תגים: |
אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!
|