Linked bibliography for the SEP article "Philosophy of Statistics" by Jan-Willem Romeijn

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Burnham, K.P. and D.R. Anderson, 2002, Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach, New York: Springer, 2nd edition. (Scholar)
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Cumming, G., 2012, Understanding The New Statistics: Effect Sizes, Confidence Intervals, and Meta-Analysis, New York: Routledge. (Scholar)
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De Morgan, A., 1847, Formal Logic or The Calculus of Inference, London: Taylor & Walton, reprinted by London: Open Court, 1926. (Scholar)
Dempster, A.P., 1964, “On the Difficulties Inherent in Fisher's Fiducial Argument”, Journal of the American Statistical Association, 59: 56–66. (Scholar)
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–––, 1967, “Upper and lower probabilities induced by a multivalued mapping”, The Annals of Mathematical Statistics, 38(2): 325–339. (Scholar)
–––, 1968, “A generalization of Bayesian inference”, Journal of the Royal Statistical Society, Series B, Vol. 30: 205–247. (Scholar)
Diaconis, P., and D. Freedman, 1980, “De Finetti’s theorem for Markov chains”, Annals of Probability, 8: 115–130. (Scholar)
Eagle, A. (ed.), 2010, Philosophy of Probability: Contemporary Readings, London: Routledge. (Scholar)
Earman, J., 1992, Bayes or Bust? A Critical Examination of Bayesian Confirmation Theory, Cambridge (MA): MIT Press. (Scholar)
Easwaran, K., 2013, “Expected Accuracy Supports Conditionalization - and Conglomerability and Reflection”, Philosophy of Science, 80(1): 119–142. (Scholar)
Edwards, A.W.F., 1972, Likelihood, Cambridge: Cambridge University Press. (Scholar)
Efron, B. and R. Tibshirani, R., 1993, An Introduction to the Bootstrap, Boca Raton (FL): Chapman & Hall/CRC. (Scholar)
Festa, R., 1993, Optimum Inductive Methods, Dordrecht: Kluwer. (Scholar)
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Fisher, R.A., 1925, Statistical Methods for Research Workers, Edinburgh: Oliver and Boyd. (Scholar)
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–––, 1933, “The concepts of inverse probability and fiducial probability referring to unknown parameters”, Proceedings of the Royal Society, Series A, 139: 343–348. (Scholar)
–––, 1935a, “The logic of inductive inference”, Journal of the Royal Statistical Society, 98: 39–82. (Scholar)
–––, 1935b, The Design of Experiments, Edinburgh: Oliver and Boyd. (Scholar)
–––, 1935c, “The fiducial argument in statistical inference”, Annals of Eugenics, 6: 317–324. (Scholar)
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–––, 1956, Statistical Methods and Scientific Inference, New York: Hafner, 3rd edition 1973. (Scholar)
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Forster, M. and E. Sober, 1994, “How to Tell when Simpler, More Unified, or Less Ad Hoc Theories will Provide More Accurate Predictions”, British Journal for the Philosophy of Science, 45: 1–35. (Scholar)
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Gelman, A., J. Carlin, H. Stern, D. Dunson, A. Vehtari, and D. Rubin, 2013, Bayesian Data Analysis, revised edition, New York: Chapman & Hall/CRC. (Scholar)
Gelman, A., and C. Shalizi, 2013, “Philosophy and the practice of Bayesian statistics (with discussion)”, British Journal of Mathematical and Statistical Psychology, 66: 8–18. (Scholar)
Giere, R. N., 1976, “A Laplacean Formal Semantics for Single-Case Propensities”, Journal of Philosophical Logic, 5(3): 321–353. (Scholar)
Gillies, D., 1971, “A Falsifying Rule for Probability Statements”, British Journal for the Philosophy of Science, 22: 231–261. (Scholar)
–––, 2000, Philosophical Theories of Probability, London: Routledge. (Scholar)
Goldstein, M., 2006, “Subjective Bayesian analysis: principles and practice”, Bayesian Analysis, 1(3): 403–420. (Scholar)
Good, I.J., 1983, Good Thinking: The Foundations of Probability and Its Applications, University of Minnesota Press, reprinted London: Dover, 2009. (Scholar)
–––, 1988, “The Interface Between Statistics and Philosophy of Science”, Statistical Science, 3(4): 386–397. (Scholar)
Goodman, N., 1965, Fact, Fiction and Forecast, Indianapolis: Bobbs-Merrill. (Scholar)
Greaves, H. and D. Wallace, 2006, “Justifying Conditionalization: Conditionalization Maximizes Expected Epistemic Utility”, Mind, 115(459): 607–632. (Scholar)
Greco, D., 2011, “Significance Testing in Theory and Practice”, British Journal for the Philosophy of Science, 62: 607–37. (Scholar)
Grünwald, P.D., 2007, The Minimum Description Length Principle, Boston: MIT Press. (Scholar)
Hacking, I.,1965, The Logic of Statistical Inference, Cambridge: Cambridge University Press. (Scholar)
Haenni, R., Romeijn, J.-W., Wheeler, G., Andrews, J., 2011, Probabilistic Logics and Probabilistic Networks, Berlin: Springer. (Scholar)
Hailperin, T., 1996, Sentential Probability Logic, Lehigh University Press. (Scholar)
Hájek, A., 2007, “The reference class problem is your problem too”, Synthese, 156: 563–585. (Scholar)
Hajek, A. and C. Hitchcock (eds.), 2013, Oxford Handbook of Probability and Philosophy, Oxford: Oxford University Press. (Scholar)
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Hjort, N., C. Holmes, P. Mueller, and S. Walker (eds.), 2010, Bayesian Nonparametrics, Cambridge Series in Statistical and Probabilistic Mathematics, nr. 28, Cambridge: Cambridge University Press. (Scholar)
Howson, C., 2000, Hume's problem: induction and the justification of belief, Oxford: Oxford University Press. (Scholar)
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Hintikka, J. and I. Niiniluoto, 1980, “An axiomatic foundation for the logic of inductive generalization”, in R.C. Jeffrey (ed.), Studies in Inductive Logic and Probability, volume II, Berkeley: University of California Press, 157–181. (Scholar)
Hintikka J. and P. Suppes (eds.), 1966, Aspects of Inductive Logic, Amsterdam: North-Holland. (Scholar)
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Kadane, J.B., M.J. Schervish, and T. Seidenfeld, 1996, “When Several Bayesians Agree That There Will Be No Reasoning to a Foregone Conclusion”, Philosophy of Science, 63: S281-S289. (Scholar)
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