References
- Bandyopadhyay, P. S. 2002. “The Old Evidence Problem and Beyond.” Paper at the American Philosophical Association, Eastern Division Meeting, Philadelphia, December.
- Bandyopadhyay, P. S. 2007. “Why Bayesianism? A Primer on a Probabilistic Philosophy of Science.” In Bayesian Statistics and Its Applications, edited by D. Dey and S. Upadhyay, 42–62. New Delhi: Anamaya Publishers.
- Bandyopadhyay, P. S., R. J. Boik, and P. Basu. 1996. “The Curve Fitting Problem: A Bayesian Approach.” Philosophy of Science 63 ( Proceedings): S264–S272. doi: 10.1086/289960
- Bandyopadhyay, P. S., and G. Brittan. 2006. “Acceptance, Evidence, and Severity.” Synthese 24: 45–65.
- Bandyopadhyay, P. S., and G. Brittan. 2010. “Two Dogmas of Strong Objective Bayesianism.” International Studies in the Philosophy of Science 148: 129–143.
- Bandyopadhyay, P. S., G. Brittan, and M. Taper. 2016. Belief, Evidence, and Uncertainty: Problems of Epistemic Inference. Cham: Springer.
- Bernstein, J. 2013. A Palette of Particles. Cambridge, MA: Harvard University Press.
- Brumfiel, G. 2012. “Neutrinos Not Faster Than Light.” Nature. http://www.nature.com/news/neutrinos-not-faster-than-light-1.10249.
- Christensen, D. 1999. “Measuring Confirmation.” Journal of Philosophy 96: 437–464. doi: 10.2307/2564707
- Feynman, R. P., R. B. Leighton, and M. Sands. 1975. The Feynman Lectures on Physics, vol. 1. Reading, MA: Addison-Wesley.
- Good, I. J. 1983. Good Thinking: The Foundations of Probability and Its Applications. Minneapolis: University of Minnesota Press.
- Howson, C. 2013. “Exhuming the No-miracles Argument.” Analysis 73: 205–211. doi: 10.1093/analys/ant012
- Howson, C., and P. Urbach. 1993. Scientific Reasoning: The Bayesian Approach. 2nd ed. Chicago, IL: Open Court.
- Howson, C., and P. Urbach. 2006. Scientific Reasoning: The Bayesian Approach. 3rd ed. Chicago, IL: Open Court.
- Joyce, J. M. 1999. The Foundations of Causal Decision Theory. Cambridge: Cambridge University Press.
- Lele, S. R. 2004. “Evidence Functions and the Optimality of the Law of Likelihood.” In The Nature of Scientific Evidence: Statistical, Philosophical, and Empirical Considerations, edited by M. L. Taper and S. R. Lele, 191–216. Chicago, IL: University of Chicago Press.
- Mayo, D. G. 1996. Error and the Growth of Experimental Knowledge. Chicago, IL: University of Chicago Press.
- Pagano, M., and K. Gauvreau. 2000. Principles of Biostatistics. 2nd ed. Belmont, CA: Duxbury Press.
- Royall, R. 1997. Statistical Evidence: A Likelihood Paradigm. New York: Chapman and Hall.
- Taper, M. L. 2004. “Model Identification from Many Candidates.” In The Nature of Scientific Evidence: Statistical, Philosophical, and Empirical Considerations, edited by M. L. Taper and S. R. Lele, 488–508. Chicago, IL: University of Chicago Press.