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Two errors in statistical model fitting. (English) Zbl 0424.62020


MSC:

62F10 Point estimation
62J07 Ridge regression; shrinkage estimators (Lasso)
62J05 Linear regression; mixed models
62B10 Statistical aspects of information-theoretic topics

Citations:

Zbl 0202.172
Full Text: DOI

References:

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[2] Akaike, H. (1972). Information theory and an extension of the maximum likelihood principle,Proc. 2nd Intl. Symp. on Information Theory, Supplement to Problems of Control and Information Theory, 267–281.
[3] Hoerl, A. E. and Kennard, R. W. (1970). Ridge regression: Biased estimation for non-orthogonal problems,Technometrics,12, 55–67. · Zbl 0202.17205 · doi:10.2307/1267351
[4] Ibragimov, I. A. and Khas’minskii, R. Z. (1972). Asymptotic behavior of statistical estimators in the smooth case,Theory Prob. Appl. 17, 443–460.
[5] Ibragimov, I. A. and Khas’minskii, R. Z. (1973). Asymptotic behavior of some statistical estimators II. Limit theorems for the a posteriori density and Bayes’ estimators,Theory Prob. Appl.,18, 76–91. · Zbl 0283.62038 · doi:10.1137/1118006
[6] Inagaki, N. and Ogata, Y. (1975). The weak convergence of likelihood ratio random fields and its applications,Ann. Inst. Statist. Math.,27, 391–419. · Zbl 0381.62023 · doi:10.1007/BF02504659
[7] Inagaki, N. and Ogata, Y. (1975). The weak convergence of likelihood ratio random fields for Markov observation,Research Memorandum, No. 79, The Institute of Statistical Mathematics. · Zbl 0381.62023
[8] LeCam, L. (1970). On the assumptions used to prove asymptotic normality of maximum likelihood estimates,Ann. Math. Statist.,41, 802–828. · Zbl 0246.62039 · doi:10.1214/aoms/1177696960
[9] Lindley, D. V. (1968). The choice of variables in multiple regression,J. R. Statist. Soc. B,30, 31–53. · Zbl 0155.26702
[10] Lindley, D. V. and Smith, A. F. M. (1972). Bayes estimates for linear model,J. R. Statist. Soc. B,34, 1–18. · Zbl 0246.62050
[11] Mallows, C. L. (1973). Some comments onC p ,Technometics,15, 661–675. · Zbl 0269.62061 · doi:10.2307/1267380
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