{"title":"Priors via imaginary training samples of sufficient statistics for objective Bayesian hypothesis testing","authors":"D. Fouskakis","doi":"10.1007/s40300-019-00159-0","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":51716,"journal":{"name":"Metron-International Journal of Statistics","volume":"77 1","pages":"179 - 199"},"PeriodicalIF":0.7000,"publicationDate":"2019-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s40300-019-00159-0","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Metron-International Journal of Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s40300-019-00159-0","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
期刊介绍:
METRON welcomes original articles on statistical methodology, statistical applications, or discussions of results achieved by statistical methods in different branches of science.