References
Aitchison, J. and Silvey, S. D. (1958). Maximum-likelihood estimation of parameters subject to restraints,Ann. Math. Statist. 29, 813–828.
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.
Hoerl, A. E. and Kennard, R. W. (1970). Ridge regression: Biased estimation for non-orthogonal problems,Technometrics,12, 55–67.
Ibragimov, I. A. and Khas'minskii, R. Z. (1972). Asymptotic behavior of statistical estimators in the smooth case,Theory Prob. Appl. 17, 443–460.
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.
Inagaki, N. and Ogata, Y. (1975). The weak convergence of likelihood ratio random fields and its applications,Ann. Inst. Statist. Math.,27, 391–419.
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.
LeCam, L. (1970). On the assumptions used to prove asymptotic normality of maximum likelihood estimates,Ann. Math. Statist.,41, 802–828.
Lindley, D. V. (1968). The choice of variables in multiple regression,J. R. Statist. Soc. B,30, 31–53.
Lindley, D. V. and Smith, A. F. M. (1972). Bayes estimates for linear model,J. R. Statist. Soc. B,34, 1–18.
Mallows, C. L. (1973). Some comments onC p ,Technometics,15, 661–675.
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Inagaki, N. Two errors in statistical model fitting. Ann Inst Stat Math 29, 131–152 (1977). https://doi.org/10.1007/BF02532780
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DOI: https://doi.org/10.1007/BF02532780