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Discussion points for Bayesian inference

Author

Listed:
  • Balazs Aczel

    (ELTE, Eötvös Loránd University)

  • Rink Hoekstra

    (University of Groningen)

  • Andrew Gelman

    (Columbia University)

  • Eric-Jan Wagenmakers

    (University of Amsterdam)

  • Irene G. Klugkist

    (Utrecht University, Utrecht)

  • Jeffrey N. Rouder

    (University of California Irvine)

  • Joachim Vandekerckhove

    (University of California Irvine)

  • Michael D. Lee

    (University of California Irvine)

  • Richard D. Morey

    (University of Cardiff)

  • Wolf Vanpaemel

    (University of Leuven)

  • Zoltan Dienes

    (University of Sussex)

  • Don van Ravenzwaaij

    (University of Groningen)

Abstract

Why is there no consensual way of conducting Bayesian analyses? We present a summary of agreements and disagreements of the authors on several discussion points regarding Bayesian inference. We also provide a thinking guideline to assist researchers in conducting Bayesian inference in the social and behavioural sciences.

Suggested Citation

  • Balazs Aczel & Rink Hoekstra & Andrew Gelman & Eric-Jan Wagenmakers & Irene G. Klugkist & Jeffrey N. Rouder & Joachim Vandekerckhove & Michael D. Lee & Richard D. Morey & Wolf Vanpaemel & Zoltan Diene, 2020. "Discussion points for Bayesian inference," Nature Human Behaviour, Nature, vol. 4(6), pages 561-563, June.
  • Handle: RePEc:nat:nathum:v:4:y:2020:i:6:d:10.1038_s41562-019-0807-z
    DOI: 10.1038/s41562-019-0807-z
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    Citations

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    Cited by:

    1. Eric-Jan Wagenmakers & Alexandra Sarafoglou & Sil Aarts & Casper Albers & Johannes Algermissen & Štěpán Bahník & Noah Dongen & Rink Hoekstra & David Moreau & Don Ravenzwaaij & Aljaž Sluga & Franziska , 2021. "Seven steps toward more transparency in statistical practice," Nature Human Behaviour, Nature, vol. 5(11), pages 1473-1480, November.
    2. Heckelei, Thomas & Huettel, Silke & Odening, Martin & Rommel, Jens, 2021. "The replicability crisis and the p-value debate – what are the consequences for the agricultural and food economics community?," Discussion Papers 316369, University of Bonn, Institute for Food and Resource Economics.
    3. John K. Kruschke, 2021. "Bayesian Analysis Reporting Guidelines," Nature Human Behaviour, Nature, vol. 5(10), pages 1282-1291, October.
    4. Ho, Manh-Toan & La, Viet-Phuong & Nguyen, Minh-Hoang & Pham, Thanh-Hang & Vuong, Thu-Trang & Vuong, Ha-My & Pham, Hung-Hiep & Hoang, Anh-Duc & Vuong, Quan-Hoang, 2020. "An analytical view on STEM education and outcomes: Examples of the social gap and gender disparity in Vietnam," Children and Youth Services Review, Elsevier, vol. 119(C).
    5. Mantello, Peter & Ho, Tung Manh & Nguyen, Minh-Hoang & Vuong, Quan-Hoang, 2021. "My Boss the Computer: A Bayesian analysis of socio-demographic and cross-cultural determinants of attitude toward the Non-Human Resource Management," OSF Preprints 4exjs, Center for Open Science.
    6. Kelter, Riko, 2022. "Power analysis and type I and type II error rates of Bayesian nonparametric two-sample tests for location-shifts based on the Bayes factor under Cauchy priors," Computational Statistics & Data Analysis, Elsevier, vol. 165(C).
    7. Fergus G Neville & John Drury & Stephen D Reicher & Sanjeedah Choudhury & Clifford Stott & Roger Ball & Daniel C Richardson, 2020. "Self-categorization as a basis of behavioural mimicry: Experiments in The Hive," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-17, October.

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