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Bayes Factors: What They Are and What They Are Not
| Content Provider | Semantic Scholar |
|---|---|
| Author | Lavine, Michael Schervish, Mark J. |
| Copyright Year | 1999 |
| Abstract | Abstract Bayes factors have been offered by Bayesians as alternatives to P values (or significance probabilities) for testing hypotheses and for quantifying the degree to which observed data support or conflict with a hypothesis. In an earlier article, Schervish showed how the interpretation of P values as measures of support suffers a certain logical flaw. In this article, we show how Bayes factors suffer that same flaw. We investigate the source of that problem and consider what are the appropriate interpretations of Bayes factors. |
| Starting Page | 119 |
| Ending Page | 122 |
| Page Count | 4 |
| File Format | PDF HTM / HTML |
| DOI | 10.1080/00031305.1999.10474443 |
| Volume Number | 53 |
| Alternate Webpage(s) | http://staff.ustc.edu.cn/~zwp/teach/Math-Stat/BF.pdf |
| Alternate Webpage(s) | https://doi.org/10.1080/00031305.1999.10474443 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |