Abstract:
The main results of this paper are the Theorems 1 and 2 and in particular, inequali ties (3.2). These theorems consider properties of the Bayessian estimates ˜θn for a wide class of a priory densities and cost functions. Precise conditions are formulated in Section 2 (see conditions A1–A3, Б1–Б5). Analogous theorems are proved in Section 7 for the maximum likelihood estimate under some additional conditions.
Citation:
I. A. Ibragimov, R. Z. Khas'minskii, “On moments of generalized Bayessian estimators and maximum likelihood estimators”, Teor. Veroyatnost. i Primenen., 18:3 (1973), 535–546; Theory Probab. Appl., 18:3 (1974), 508–520
\Bibitem{IbrKha73}
\by I.~A.~Ibragimov, R.~Z.~Khas'minskii
\paper On moments of generalized Bayessian estimators and maximum likelihood estimators
\jour Teor. Veroyatnost. i Primenen.
\yr 1973
\vol 18
\issue 3
\pages 535--546
\mathnet{http://mi.mathnet.ru/tvp2726}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=324821}
\zmath{https://zbmath.org/?q=an:0327.62017}
\transl
\jour Theory Probab. Appl.
\yr 1974
\vol 18
\issue 3
\pages 508--520
\crossref{https://doi.org/10.1137/1118065}
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https://www.mathnet.ru/eng/tvp2726
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This publication is cited in the following 8 articles:
A. A. Borovkov, Al. V. Bulinski, A. M. Vershik, D. Zaporozhets, A. S. Holevo, A. N. Shiryaev, “Ildar Abdullovich Ibragimov (on his ninetieth birthday)”, Russian Math. Surveys, 78:3 (2023), 573–583
Statistical Inference for Stochastic Processes, 1980, 415
N. K. Bakirov, “Likelihood ratio for densities with singularity”, J. Soviet Math., 34:1 (1986), 1403–1413
“Summary of reports presented at sessions of the probability and statistics seminar in the Leningrad section of the Mathematical Institute of the USSR Academy of Sciences, 1976”, Theory Probab. Appl., 22:3 (1978), 635–646
I. A. Ibragimov, R. Z. Khas'minskii, “Properties of maximum likelihood and Bayessian estimators for not identically distributed observations”, Theory Probab. Appl., 20:4 (1976), 689–697
S. I. Gusev, “Asymptotic expansions associated with some statistical estimates in the smooth case. I. Decompositions of random variables”, Theory Probab. Appl., 20:3 (1976), 470–498
B. Ya. Levit, “On the behaviour of the generalized Вayes estimates for Markov observations”, Theory Probab. Appl., 19:2 (1975), 332–346