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Generalization of Cram´er-Rao and Bhattacharyya inequalities for the weighted covariance matrix

Mathematical Communications. 2017. Vol. 22. No. 1. P. 25–40.
Kelbert M., Mozgunov P.

The paper considers a family of probability distributions depending on a pa-
rameter. The goal is to derive the generalized versions of Cram´er-Rao and Bhattacharyya
inequalities for the weighted covariance matrix and of the Kullback inequality for the
weighted Kullback distance, which are important objects themselves [9, 23, 28]. The asymp-
totic forms of these inequalities for a particular family of probability distributions and for
a particular class of continuous weight functions are given.

Research target: Computer Science Mathematics
Language: English
Full text
Keywords: Fisher information
Publication based on the results of:
Вероятностные и статистические методы анализа сложных моделей, задаваемых стохастическими дифференциальными и разностными уравнениями (2017)
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