Hypothesis Testing in the Bayesian Framework

Shikano, Susumu

Hypothesis Testing in the Bayesian Framework

Dateien

Shikano_2-1mg7bsxf9wuxl5.pdfGröße: 176.84 KBDownloads: 538

Datum

2019

Open Access-Veröffentlichung

Open Access Hybrid

Sammlungen

Politik- und Verwaltungswissenschaft

Publikationstyp

Zeitschriftenartikel

Publikationsstatus

Published

Erschienen in

Swiss Political Science Review. 2019, 25(3), pp. 288-299. ISSN 1424-7755. eISSN 1662-6370. Available under: doi: 10.1111/spsr.12375

Zusammenfassung

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.

Fachgebiet (DDC)

320 Politik

Zitieren

ISO 690

SHIKANO, Susumu, 2019. Hypothesis Testing in the Bayesian Framework. In: Swiss Political Science Review. 2019, 25(3), pp. 288-299. ISSN 1424-7755. eISSN 1662-6370. Available under: doi: 10.1111/spsr.12375

BibTex

@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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