{"title":"Assessing and benchmarking the fidelity of posterior inference methods for astrophysics data analysis","authors":"Becky Nevin","doi":"10.2172/2282454","DOIUrl":null,"url":null,"abstract":"In this era of large and complex astronomical survey data, interpreting, validating","PeriodicalId":518385,"journal":{"name":"Assessing and benchmarking the fidelity of posterior inference methods for astrophysics data analysis","volume":"158 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Assessing and benchmarking the fidelity of posterior inference methods for astrophysics data analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2172/2282454","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this era of large and complex astronomical survey data, interpreting, validating