Why is Bayesian confirmation theory rarely practiced?
Abstract
Keywords
Full Text:
PDFReferences
BAKER, M. 2016. 1,500 scientists lift the lid on reproducibility. Nature 533(7604): 452-454.
BIRD, A. 2018. Understanding the replication crisis as a base rate fallacy. The British Journal for the Philosophy of Science, August 13th 2018.
BRÖSSEL, P. and HUBER, F. 2015. Bayesian confirmation: a means with no end. The British Journal for the Philosophy of Science 66(4): 737-749.
BUNGE, M. 2018. Gravitational waves and spacetime. Foundations of Science 23(2): 399-403.
CARNAP, R. 1962. Logical foundations of probability, 2nd Edition. Chicago: Chicago University Press.
CASELLA, G. and BERGER, R.L. 2002. Statistical Inference. The University of Michigan: Thomson Learning.
CASTELVECCHI, D. 2015. Feuding physicists turn to philosophy for help. Nature 528(7583): 446-447.
CHIHARA, C.S. 1987. Some problems for Bayesian confirmation theory. The British Journal for the Philosophy of Science 38(4): 551-560.
CRUPI, V., FESTA, R., MASTROPASQUA, T. 2008. Bayesian confirmation by uncertain evidence: a reply to Huber [2005]. The British Journal for the Philosophy of Science 59(2):201-211.
EARMAN, J. 1992. Bayes or Bust? A Critical Examination of Bayesian Confirmation Theory. Cambridge, MA: MIT Press.
FESTA, R. and CEVOLANI, G. 2017. Unfolding the grammar of Bayesian confirmation: likelihood and antilikelihood principles. Philosophy of Science 84(1): 56-81.
FITELSON, B. 1999. The plurality of Bayesian measures of confirmation and the problem of measure sensitivity. Philosophy of Science 66: S362-S378.
FORTUNATO, S., BERGSTROM, C.T., BÖRNER, K., EVANS, J.A., HELBING, D., MILOJEVIĆ, S. PETERSON, A.M., RADICCHI, F., SINATRA, R., UZZI, B., VESPIGNANI, A., WALTMAN, L., WANG, D. and BARABÁSI, A-L. 2018. Science of science. Science 359(6379) (DOI: 10.1126/science.aao0185).
HENDERSON, L., GOODMAN, N.D., TENENBAUM, J.B. and WOODWARD, J.F. 2010. The structure and dynamics of scientific theories: a hierarchical Bayesian perspective. Philosophy of Science 77(2): 172-200.
HOWSON, C. and URBACH, P. 2006. Scientific Reasoning: The Bayesian Approach. La Salle: Open Court, 3rd Edition.
HUBER, F. 2005. Subjective probabilities as basis for scientific reasoning? The British Journal for the Philosophy of Science 56(1): 101-116.
KAPLAN, M. 1989. Bayesianism without the black box. Philosophy of Science 56(1): 48-69.
KEYNES, J. 1921. A Treatise on Probability. London: Macmillan.
LINDLEY, D.V. 1957. A statistical paradox. Biometrika 44(1/2): 187-92.
LUK, R.W.P. 2017. A theory of scientific study. Foundations of Science 22(1): 11-38.
LUK, R.W.P. 2018. On the implications and extensions of Luk’s theory and model of scientific study. Foundations of Science 23(1): 103-118.
MAYO, D.G. 1996. Error and the Growth of Experimental Knowledge. Chicago: The University of Chicago Press.
MOREY, R.D. and ROUDER, J.N. 2018. BayseFactor: computation of bayes factors for common designs. (https://CRAN.R-project.org/ package=BayesFactor).
MYRVOLD, W.C. 2003. A Bayesian account of the virtue of unification. Philosophy of Science 70(2): 399-423.
NORTON, J.D. 2011. Challenges to Bayesian confirmation theory. In Philosophy of Statistics: Volume 7 in Handbook of the Philosophy of Science, pp. 391-439.
QUINTANA, D.S. and WILLIAMS, D.R. 2018. Bayesian alternatives for common null-hypothesis significance tests in psychiatry: a non-technical guide using JASP. BMC Psychiatry 18 (December 2018): 178-185.
RAINVILLE, S., THOMPSON, J.K., MYERS, E.G., BROWN, J.M., DEWEY, M.S., KESSLER, E.G., Jr, et al. 2005. A direct test of E = mc2. Nature 438(22): 1096-1097.
ROBERT, C. 2014. On the Jeffreys-Lindley paradox. Philosophy of Science 81(2): 216-232.
ROMEJIN, J-W. 2017. Philosophy of Statistics. The Stanford Encyclopedia of Philosophy. E.N. Zalta (ed.), (https://plato.stanford.edu/archives/spr2017/entries/statistics/).
RUSSELL, B. 1912. The Problems of Philosophy. London: Williams and Norgate.
SCHIPPERS, M. and SCHURZ, G. 2018. Genuine confirmation and tacking by conjunction. The British Journal for the Philosophy of Science, June 27th online.
SHAFFER, M.J. 2001. Bayesian confirmation theories that incorporate idealizations. Philosophy of Science 68(1): 36-52.
SMUCKER, M.D., ALLAN, J. and CARTERETTE, B. 2007. A comparison of statistical significance tests for information retrieval evaluation. In Proceedings of the 16th ACM CIKM ‘07, pp. 623-632.
SPANOS, A. 2013. Who should be afraid of the Jeffreys-Lindey paradox. Philosophy of Science 80(1): 73-93.
SPRENGER, J. 2013. Testing a precise null hypothesis: the case of Lindley’s paradox. Philosophy of Science 80(5): 733-744.
WAGENMAKERS, E-J. 2017. JASP. https://jasp-stats.org.
WAGENMAKER, E.J., MARSMAN, M., JAMIL, T., LY, A., VERHAGEN, J., LOVE, J., SELKER, R., GRONAU, Q.F., ŠMÍRA, M., EPSKAMP, S., MATZKE, D., ROUDER, J.N., MOREY, R.D. 2018a. Bayesian inference for psychology. Part I: Theoretical advantages and practical ramifications. Psyconomic Bulletin & Review 25(1): 35-57.
WAGENMAKERS, E.J., LOVE, J., MARSMAN, M., JAMIL, T., LY, A., VERHAGEN, J., SELKER, R., GRONAU, Q.F., DROPMAN, D., BOUTIN, B., MEERHOFF, F., KNIGHT, P., RAJ, A., van KESTEREN, E-J., and van DOORN, 2018b. Bayesian inference for psychology. Part II: example application with JASP. Psyconomic Bulletin & Review 25(1): 58-76.
WAYNE, A. 1995. Bayesianism and diverse evidence. Philosophy of Science 62(1): 111-121.
WILKS, S.S. 1938. The large-sample distribution of the likelihood ratio for testing composite hypotheses. Annals of Mathematical Statistics 9(1): 60-62.
YARKONI, T. and WESTFALL, J. 2017. Choosing prediction over explanation in psychology: lessons from machine learning. Perspective on Psychological Science 12(6): 1100-1122.
DOI: http://dx.doi.org/10.23756/sp.v7i1.449
Refbacks
- There are currently no refbacks.
Copyright (c) 2019 Robert W.P. Luk

This work is licensed under a Creative Commons Attribution 4.0 International License.
Science & Philosophy - Journal of Epistemology, Science and Philosophy. ISSN 2282-7757; eISSN 2282-7765.