Title :
Two quantum analogues of the large deviation Cramer-Rao inequality
Author :
Nagaoka, Hiroshi
Author_Institution :
Graduate Sch. of Inf. Syst., Univ. of Electro-Commun., Chofu, Japan
fDate :
27 Jun-1 Jul 1994
Abstract :
Considers a family of probability distributions smoothly parametrized by a single parameter Θ ranging over an open set Θ in R. Under some regularity conditions, large deviation Cramer-Rao inequality holds. Two types of quantum Fisher information is introduced in the analysis
Keywords :
information theory; probability; statistical analysis; large deviation Cramer-Rao inequality; probability distributions; quantum Fisher information; quantum analogues; regularity conditions; Cramer-Rao bounds; Eigenvalues and eigenfunctions; Entropy; Hilbert space; Maximum likelihood estimation; Parameter estimation; Probability distribution; State estimation; Tensile stress; Virtual colonoscopy;
Conference_Titel :
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location :
Trondheim
Print_ISBN :
0-7803-2015-8
DOI :
10.1109/ISIT.1994.394870
