Kass, Robert Comment: The importance of Jeffreys’s legacy. (English) Zbl 1328.62010 Stat. Sci. 24, No. 2, 179-182 (2009). Summary: Jeffreys’ Theory of probability [Oxford: Clarendon Press (1939; Zbl 0023.14501)] is distinguished by several high-level philosophical attitudes, some stressed by Jeffreys, some implicit. By reviewing these we may recognize the importance in this work in the historical development of statistics.Comment to [ibid. 24, No. 2, 141–172 (2009; Zbl 1328.62012)]. Cited in 1 ReviewCited in 1 Document MSC: 62-03 History of statistics 62A01 Foundations and philosophical topics in statistics 62F15 Bayesian inference 01A60 History of mathematics in the 20th century Keywords:approximate Bayesian inference; Bayes factors; statistical models Citations:Zbl 0023.14501; Zbl 1328.62012 × Cite Format Result Cite Review PDF Full Text: DOI arXiv Euclid References: [1] Brown, E. N. and Kass, R. E. (2009). What is statistics? (with discussion). Amer. Statist. · Zbl 1205.00035 [2] Box, G. E. P. (1979). Robustness in the strategy of scientific model building. In Robustness in Statistics (R. L. Launer and G. N. Wilkinson, eds.). Academic Press, New York. · Zbl 0441.62033 [3] Cox, D. R. (1990). Role of models in statistical analysis. Statist. Sci. 5 169-174. · Zbl 0955.62518 · doi:10.1214/ss/1177012165 [4] Cox, D. R. (2001). Comment on article by Breiman. Statist. Sci. 16 216-218. [5] Efron, B. (2001). Comment on article by Breiman. Statist. Sci. 16 218-219. [6] Freedman, D. A. and Zeisel, H. (1988). From mouse-to-man: The quantitative assessment of cancer risks. Statist. Sci. 3 3-28. · Zbl 0955.62637 · doi:10.1214/ss/1177012993 [7] Kass, R. E. (1989). The geometry of asymptotic inference (with discussion). Statist. Sci. 4 188-234. · Zbl 0955.62513 · doi:10.1214/ss/1177012480 [8] Kass, R. E. (1991). More about “Theory of Probability” by H. Jeffreys. Chance 4 13. [9] Kass, R. E. and Raftery, A. (1995). Bayes factors. J. Amer. Statist. Assoc. 90 773-795. · Zbl 0846.62028 · doi:10.2307/2291091 [10] Kass, R. E. and Wasserman, L. A. (1996). The selection of prior distributions by formal rules. J. Amer. Statist. Assoc. 91 1343-1370. · Zbl 0884.62007 · doi:10.2307/2291752 [11] Kruskal, W. and Neyman, J. (1956). Stochastic models and their applications to social phenomena. Unpublished lecture at Joint Statistical Meetings, Detroit; referenced by Lehmann (1990). [12] Lehmann, E. L. (1990). Model specification: The views of Fisher and Neyman, and later developments Statist. Sci. 5 160-168. · Zbl 0955.62516 · doi:10.1214/ss/1177012164 [13] Stanford, P. K. (2006). Exceeding Our Grasp . Oxford Univ. Press, Oxford. This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.