Parameter Effects in ReCom Ensembles
Fuente:
arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866909625204342784 |
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| author | Tapp, Kristopher Proebsting, Todd Ramsay, Alec |
| author_facet | Tapp, Kristopher Proebsting, Todd Ramsay, Alec |
| contents | Ensemble analysis has become central to redistricting litigation, but parameter effects remain understudied. We analyze 315 ReCom ensembles across the three legislative chambers in 7 states, systematically varying the population tolerance, county preservation strength, and algorithm variant. To validate convergence, we introduce new methods to approximate effective sample size and measure redundancy. We find that varying the population tolerance has a negligible effect on all scores, whereas the algorithm and county-preservation parameters can significantly affect some metrics, inconsistently in some cases but surprisingly consistently in others across jurisdictions. These findings suggest parameter choices should be thoughtfully considered when using ReCom ensembles. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_21326 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Parameter Effects in ReCom Ensembles Tapp, Kristopher Proebsting, Todd Ramsay, Alec Physics and Society Computers and Society Applications Ensemble analysis has become central to redistricting litigation, but parameter effects remain understudied. We analyze 315 ReCom ensembles across the three legislative chambers in 7 states, systematically varying the population tolerance, county preservation strength, and algorithm variant. To validate convergence, we introduce new methods to approximate effective sample size and measure redundancy. We find that varying the population tolerance has a negligible effect on all scores, whereas the algorithm and county-preservation parameters can significantly affect some metrics, inconsistently in some cases but surprisingly consistently in others across jurisdictions. These findings suggest parameter choices should be thoughtfully considered when using ReCom ensembles. |
| title | Parameter Effects in ReCom Ensembles |
| topic | Physics and Society Computers and Society Applications |
| url | https://arxiv.org/abs/2505.21326 |