R3 on "What are the most important statistical ideas of the past 50 years? " Andrew Gelman, Aki Vehtari(33)

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

33.1

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)

＜この記事は個人の過去の経験に基づく個人の感想です。現在所属する組織、業務とは関係がありません。＞

最後までおよみいただきありがとうございました。

いいね　💚、フォローをお願いします。

Thank you very much for reading to the last sentence.

Please press the like icon 💚　and follow me for your happy life.