IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v41y2007i1p73-91.html
   My bibliography  Save this article

Comparison of Hypothesis Testing and Bayesian Model Selection

Author

Listed:
  • Herbert Hoijtink
  • Irene Klugkist

Abstract

No abstract is available for this item.

Suggested Citation

  • Herbert Hoijtink & Irene Klugkist, 2007. "Comparison of Hypothesis Testing and Bayesian Model Selection," Quality & Quantity: International Journal of Methodology, Springer, vol. 41(1), pages 73-91, February.
  • Handle: RePEc:spr:qualqt:v:41:y:2007:i:1:p:73-91
    DOI: 10.1007/s11135-005-6224-6
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11135-005-6224-6
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11135-005-6224-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Irene Klugkist & Bernet Kato & Herbert Hoijtink, 2005. "Bayesian model selection using encompassing priors," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 59(1), pages 57-69, February.
    2. Sellke T. & Bayarri M. J. & Berger J. O., 2001. "Calibration of rho Values for Testing Precise Null Hypotheses," The American Statistician, American Statistical Association, vol. 55, pages 62-71, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chacón, José E. & Fernández Serrano, Javier, 2024. "Bayesian taut splines for estimating the number of modes," Computational Statistics & Data Analysis, Elsevier, vol. 196(C).
    2. Jyotirmoy Sarkar, 2018. "Will P†Value Triumph over Abuses and Attacks?," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 7(4), pages 66-71, July.
    3. Gary Koop & Roberto Leon-Gonzalez & Rodney Strachan, 2008. "Bayesian inference in a cointegrating panel data model," Advances in Econometrics, in: Bayesian Econometrics, pages 433-469, Emerald Group Publishing Limited.
    4. Christopher Snyder & Ran Zhuo, 2018. "Sniff Tests as a Screen in the Publication Process: Throwing out the Wheat with the Chaff," NBER Working Papers 25058, National Bureau of Economic Research, Inc.
    5. Oh, Man-Suk, 2014. "Bayesian comparison of models with inequality and equality constraints," Statistics & Probability Letters, Elsevier, vol. 84(C), pages 176-182.
    6. Bartolucci, Francesco & Scaccia, Luisa & Farcomeni, Alessio, 2012. "Bayesian inference through encompassing priors and importance sampling for a class of marginal models for categorical data," Computational Statistics & Data Analysis, Elsevier, vol. 56(12), pages 4067-4080.
    7. Bachmann, Dirk & Dette, Holger, 2004. "A note on the Bickel-Rosenblatt test in autoregressive time series," Technical Reports 2004,17, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    8. Wenqing Li & Ming-Hui Chen & Xiaojing Wang & Dipak K. Dey, 2018. "Bayesian Design of Non-inferiority Clinical Trials Via the Bayes Factor," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 10(2), pages 439-459, August.
    9. Julia Roloff & Michael J. Zyphur, 2019. "Null Findings, Replications and Preregistered Studies in Business Ethics Research," Journal of Business Ethics, Springer, vol. 160(3), pages 609-619, December.
    10. Pathairat Pastpipatkul & Petchaluck Boonyakunakorn & Kanyaphon Phetsakda, 2020. "The Impact of Thailand’s Openness on Bilateral Trade between Thailand and Japan: Copula-Based Markov Switching Seemingly Unrelated Regression Model," Economies, MDPI, vol. 8(1), pages 1-13, January.
    11. Ferguson John P. & Palejev Dean, 2014. "P-value calibration for multiple testing problems in genomics," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 13(6), pages 659-673, December.
    12. Sebastian Loth & Katharina Jettka & Manuel Giuliani & Stefan Kopp & Jan P de Ruiter, 2018. "Confidence in uncertainty: Error cost and commitment in early speech hypotheses," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-30, August.
    13. Francesco Bartolucci & Alessio Farcomeni & Luisa Scaccia, 2017. "A Nonparametric Multidimensional Latent Class IRT Model in a Bayesian Framework," Psychometrika, Springer;The Psychometric Society, vol. 82(4), pages 952-978, December.
    14. Joris Mulder & James O. Berger & Víctor Peña & M. J. Bayarri, 2021. "On the prevalence of information inconsistency in normal linear models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 30(1), pages 103-132, March.
    15. Guido Consonni & Roberta Paroli, 2017. "Objective Bayesian Comparison of Constrained Analysis of Variance Models," Psychometrika, Springer;The Psychometric Society, vol. 82(3), pages 589-609, September.
    16. Alessio Farcomeni, 2003. "Unified conditional frequentist and Bayesian testing: computations in practice and sample size determination," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(2), pages 243-266.
    17. Kim, Jae H. & Ji, Philip Inyeob, 2015. "Significance testing in empirical finance: A critical review and assessment," Journal of Empirical Finance, Elsevier, vol. 34(C), pages 1-14.
    18. Stephen Gorard, 2017. "Significance Testing is Still Wrong, and Damages Real Lives: A Brief Reply to Spreckelsen and Van Der Horst, and Nicholson and McCusker," Sociological Research Online, , vol. 22(2), pages 204-210, May.
    19. J. S. Butler & Peter Jones, 2018. "Theoretical and empirical distributions of the p value," METRON, Springer;Sapienza Università di Roma, vol. 76(1), pages 1-30, April.
    20. Snyder, Christopher & Zhuo, Ran, 2018. "Sniff Tests in Economics: Aggregate Distribution of Their Probability Values and Implications for Publication Bias," MetaArXiv 8vdrh, Center for Open Science.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:qualqt:v:41:y:2007:i:1:p:73-91. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.