R3(References on References on References) on "What are the most important statistical ideas of the past 50 years? " Andrew Gelman, Aki Vehtari(33)
R3 on "What are the most important statistical ideas of the past 50 years? " Andrew Gelman, Aki Vehtari(0)
https://qiita.com/kaizen_nagoya/items/a8eac9afbf16d2188901
What are the most important statistical ideas of the past 50 years?
Andrew Gelman, Aki Vehtari
https://arxiv.org/abs/2012.00174
References
33
Dempster, A. P., Schatzoff, M., and Wermuth, N. (1977). A simulation study of alternatives to ordinary least squares. Journal of the American Statistical Association 72, 77–91.
References on 33
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Baranchik, Alvin J., “A Family of Minimax Estimators of the Mean of a Multivariate Normal Distribution,” Annals of Mathematieal Statistics, 41, 2 (1970), 642-5.
33.2
Conniffe, D., and Stone, J., “A Critical View of Ridge Regres- sion,” The Statistician, 22 (1973), 181-7.
33.3
Dempster, Arthur P., “Alternatives to Least Squares in Multiple Regression,” in D. Kabe and R.P. Gupta, eds., Multivariate Statistical Inference, Amsterdam : North-Holland Publishing Co., 1973,25-40.
33.4
[4] Efron, Bradley, and Morris, Carl, 'Limiting the Risk of Hayes and Empirical Bare Estimators—Pert The Bayes Case," Journal of the American Statietical Anew-legion, 66 (December 1971), 807-15.
[5] Efron,and Morrie, Carl, "Limiting the Risk of Bayes and Empirical Bayes Estimators—Part IL The Empirical Byre Cum," Journal of the American Statistical Association, 67 (March 1972), 130-9.
[6]Efron, and Morris, Carl, "Empirical Reyes on Vector Ob-eervations—an Extension of Stein's Method," Biometrika, 59, 2 (1972), 335-47.
[7] Efron,, and Morris, Carl, "Stein's Estimation Rule and Its Competitors--an Empirical Reyes Approach," Journal of the Antanban Statistical Association, 68 (March 1973), 117-30.
[8] Efron, , and Morris, Carl, "Combining Possibly Related Esti-motion Problems," Journal of the Royal Statistical Society, Ser. B, 35, 3 (1973), 379-421.
[9] Efron,and Morris, Carl, "Data Analysis Using Stein's Esti-mator and Its Generalisations," Journal of the American Statistical Association, 70 (June 1975), 311-9.
[10] Goldstein, M., and Smith, Adrian F.M., "Ridge-Type Esti-mations for Regreseion Analysis," Journal of the Royal Sta-tistical Society, Ser. B, 36, 2 (1974), 284-91.
[11] Hoerl, Arthur, and Kennard, Robert, "Ridge Regreseion: Biased Estimation for Non-Orthogonal Problems," Teckno-metrics, 12 (February 1970), 55-63.
[12] and Kennard, Robert, "Ridge Regression: Applications to Non-Orthogonal Problems," Teclatometries, 12 (February 1970). 69-82.
[13] James, W., and Stein, Charles, “Estimation with Quadratic Loss,” in J. Neyman, ed., Proceedings of the 4th Berkeley Sym- posium on Mathematical Statistics and Probability, Berkeley : The University of California Press, 1961, 361-79.
[14] Lewis, Peter A.W., Goodman, A.S., and Miller, J.M., “A Pseudo-Random Number Generator for the System/36O,” IBM Systems Journal, 8, 2 (1969), 136-46.
[15] Lindley, Dennis V., and Smith, Adrian F.M., “Bayes Esti- mates for the Linear Model,” Journal oj the Royal Statistid Society, Ser. B, 34, 1 (1972), 141.
[l6] Mallows, Colin L., “Some Comments on C,,” Technometrim, 15 (November 1973), 661-75.
[17] Rolph, John E., “Choosing Shrinkage Estimators for Regres- sion Problems,” CommunicatiwLs in Statistics-Theory and Methods, A5(9) (1976), 789-801.
[l8] Sclove, Stanley, “Improved Estimators for Coefficients in Linear Regression,” Journal of the American Statistical AasocG ation, 63 (June 1968), 596-606.
[19] Wermuth, Nanny, An Empirical Comparison of Regression
M-ethods, unpublished Ph.D. thesis, Department of Statistics, Harvard University, Cambridge, Mass., 1972. ,APL-Functhsfor Data Simulation, RegressionMethods and D d a Analysis Techniques, Research Report CP-15, De- partment of Statistics, Harvard University, Cambridge, Mass., 1972.
[2l] Zellner, Arnold, and Vandaele, Walter, “Bayes-Stein Esti- mators for k-Means Regression and Simultaneous Equations,” H.G.B. Abzander Research Founddim, Graduate School of Business, University of Chicago, 1972.
Comment
,and Morris, Carl, “Limiting the Risk of Bayea and Empirical Bayes Estimators-Part I1: The Empirical Bayes Case,” Journal of the American Statietical Association, 67
(March 1972), 130-9.
参考資料(References)
Data Scientist の基礎(2)
岩波数学辞典 二つの版がCDに入ってお得
岩波数学辞典
アンの部屋（人名から学ぶ数学：岩波数学辞典）英語(24)
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