Bibliography
Akaike, H. 1985. “Prediction and Entropy.” In A
Celebration of Statistics, edited by A. C. Atkinson and S. E.
Fienberg, 1–24. Springer. https://doi.org/10.1007/978-1-4613-8560-8_1.
Aldrich, J. 1997. “R. A. Fisher and the Making of
Maximum Likelihood 1912–1922.” Statist. Sci. 12: 162–76.
https://doi.org/10.1214/ss/1030037906.
Amari, S.-I. 2016. Information Geometry and Its Applications.
Springer. https://doi.org/10.1007/978-4-431-55978-8.
Bernardo, J. M. 1979. “Expected Information as Expected
Utility.” Ann. Stat. 7: 686–90. https://doi.org/10.1214/aos/1176344689.
Dawid, A. P., and M. Musio. 2014. “Theory and Applications of
Proper Scoring Rules.” METRON 72: 169–83. https://doi.org/10.1007/s40300-014-0039-y.
Diaconis, P., and B. Skyrms. 2018. Ten Great Ideas about
Chance. Princeton University Press.
Efron, B. 2022. Exponential Families in Theory and Practise.
Cambridge University Press. https://doi.org/10.1017/9781108773157.
Fisher, R. A. 1922. “On the Mathematical Foundations of
Theoretical Statistics.” Phil. Trans. R. Soc. A 222:
309–68. https://doi.org/10.1098/rsta.1922.0009.
Gelman, A., J. B. Carlin, H. A. Stern, D. B. Dunson, A. Vehtari, and D.
B. Rubin. 2014. Bayesian Data Analysis. 3rd ed. CRC Press.
Good, I. J. 1952. “Rational Decisions.” J. R. Statist.
Soc. B 14: 107–14. https://doi.org/10.1111/j.2517-6161.1952.tb00104.x.
———. 1979. “Studies in the History of Probability and Statistics.
XXXVII A. M. Turing’s
Statistical Work in World War II.” Ann. Math.
Statist. 66: 393–96. https://doi.org/10.1093/biomet/66.2.393.
Hand, D. J. 2015. “From Evidence to Understanding: A Commentary on
Fisher (1922) ‘on the Mathematical Foundations of
Theoretical Statistics’.” Phil. Trans. R. Soc. A
373: 20140252. https://doi.org/10.1098/rsta.2014.0252.
Heard, N. 2021. An Introduction to Bayesian Inference, Methods and
Computation. Springer.
Held, L., and D. S. Bové. 2020. Applied Statistical Inference:
Likelihood and Bayes. Second. Springer.
Jaynes, E. T. 2003. Probability Theory: The Logic of Science.
Cambridge University Press. https://doi.org/10.1017/CBO9780511790423.
Kullback, S. 1959. Information Theory and Statistics. Wiley.
Kullback, S., and R. A. Leibler. 1951. “On Information and
Sufficiency.” Ann. Math. Statist. 22: 79–86. https://doi.org/10.1214/aoms/1177729694.
Lemons, D. S. 2013. A Student’s Guide to Entropy. Cambridge
University Press. https://doi.org/10.1017/CBO9780511984556.
McGrayne, S. B. 2011. The Theory That Would Not Die. Yale
University Press.
Sahu, S. K. 2024. Introduction to Probability, Statistics &
R. Springer. https://doi.org/10.1007/978-3-031-37865-2.
Shannon, C. E. 1948. “A Mathematical Theory of
Communication.” Bell Syst. Tech. J. 27: 379–423. https://doi.org/10.1002/j.1538-7305.1948.tb01338.x.
Stiegler, S. M. 2007. “The Epic Story of Maximum
Likelihood.” Statist. Sci. 22: 598–620. https://doi.org/10.1214/07-STS249.
Winkler, R. L. 1996. “Scoring Rules and the Evaluation of
Probabilities (with Discussion).” Test 5: 1–69. https://doi.org/10.1007/BF02562681.