{"title":"证据模型:调查与评估","authors":"C. Sanchirico","doi":"10.2139/ssrn.1704009","DOIUrl":null,"url":null,"abstract":"This survey identifies and reviews the main approaches to modeling legal evidence: pure probabilistic deduction, the omission model, endogenous cost signaling, and correlated private information. The central mechanic of each approach is described and applications are provided. Approaches are evaluated and compared. Attempts to combine approaches are also examined.","PeriodicalId":377417,"journal":{"name":"University of Pennsylvania Carey Law School","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Models of Evidence: Survey and Assessment\",\"authors\":\"C. Sanchirico\",\"doi\":\"10.2139/ssrn.1704009\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This survey identifies and reviews the main approaches to modeling legal evidence: pure probabilistic deduction, the omission model, endogenous cost signaling, and correlated private information. The central mechanic of each approach is described and applications are provided. Approaches are evaluated and compared. Attempts to combine approaches are also examined.\",\"PeriodicalId\":377417,\"journal\":{\"name\":\"University of Pennsylvania Carey Law School\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"University of Pennsylvania Carey Law School\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.1704009\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"University of Pennsylvania Carey Law School","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.1704009","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This survey identifies and reviews the main approaches to modeling legal evidence: pure probabilistic deduction, the omission model, endogenous cost signaling, and correlated private information. The central mechanic of each approach is described and applications are provided. Approaches are evaluated and compared. Attempts to combine approaches are also examined.