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Invited Discussion of J.O. Berger: Four Types of Frequentism and Their Interplay with Bayesianism✩
Volume 1, Issue 2 (2023), pp. 142–144
Luis Pericchi  

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https://doi.org/10.51387/23-NEJSDS4B
Pub. online: 31 May 2023      Type: Commentary And/or Historical Perspective      Open accessOpen Access
Area: Statistical Methodology

✩ Main article: 10.51387/22-NEJSDS4.

Accepted
15 August 2022
Published
31 May 2023

References

[1] 
Ioannidis, J. P. (2005). Why most published research findings are false. PLoS medicine 2(8) 124. https://doi.org/10.1080/09332480.2005.10722754. MR2216666
[2] 
Lindley, D. (1975). Advances in Applied Probability. Supplement: Proceedings of the Conference on Directions for Mathematical Statistics. 7 106–115.
[3] 
Mossman, D. and Berger, J. O. (2001). Intervals for posttest probabilities: a comparison of 5 methods. Medical Decision Making 21(6) 498–507.
[4] 
Pericchi, L. R. and Perez, M. q. E. (2017). Converting P-Values in Adaptive Robust Lower Bounds of Posterior Probabilities to increase the reproducible Scientific “Findings”. arXiv preprint arXiv:1711.06219.
[5] 
Spiegelhalter, D. (2017). Too familiar to ditch. Significance 14(2) 41.
[6] 
Velez Ramos, D., Guerra, L. R. and Perez Hernandez, M. E. (2023). From p-Values to Posterior Probabilities of Null Hypotheses. Entropy 25(4) 618. https://doi.org/10.3390/e25040618.

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