Election Forensics: Using Machine Learning and Synthetic Data for Possible Election Anomaly Detection
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https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/YZRJWD
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资源简介：
This replication package replicates the findings reported in Mali Zhang, R. Michael Alvarez, and Ines Levin, “Election Forensics: Using Machine Learning and Synthetic Data for Possible Election Anomaly Detection.” Forthcoming in PLOS ONE.
提供机构：
Harvard Dataverse
创建时间：
2019-10-14
