@article{Shikano2019-11-06Hypot-46894,
  year={2019},
  doi={10.1111/spsr.12375},
  title={Hypothesis Testing in the Bayesian Framework},
  number={3},
  volume={25},
  issn={1424-7755},
  journal={Swiss Political Science Review},
  pages={288--299},
  author={Shikano, Susumu}
}

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    <dcterms:title>Hypothesis Testing in the Bayesian Framework</dcterms:title>
    <dcterms:abstract>While the Bayesian parameter estimation has gained a wider acknowledgement among political scientists, they seem to have less discussed the Bayesian version of hypothesis testing. This paper introduces two Bayesian approaches to hypothesis testing: one based on estimated posterior distributions and the other based on Bayes factors. By using an example based on a linear regression model, I demonstrate similarities and differences not only between the null‐hypothesis significance tests and Bayesian hypothesis tests, but also those among two different Bayesian approaches, which are also critically discussed.</dcterms:abstract>
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    <dc:creator>Shikano, Susumu</dc:creator>
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    <dc:contributor>Shikano, Susumu</dc:contributor>
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