Averaging Entropy

IEEE Transactions on Information Theory

Volumn 41, Issue 1, 1995, Pages 338-339

  Campbell, L Lorne ^a  

^a QUEEN S UNIVERSITY   (Canada)

Author keywords

Average entropy; differential geometry; noninformative priors

Indexed keywords

CALCULATIONS; GEOMETRY; MATRIX ALGEBRA; PROBABILITY; STATISTICS; VECTORS;

AVERAGE ENTROPY; BAYESIAN STATISTICS; DIFFERENTIAL GEOMETRY; FISHER INFORMATION MATRIX; NONINFORMATIVE PRIORS;

INFORMATION THEORY;

EID: 0029209186     PISSN: 00189448     EISSN: 15579654     Source Type: Journal    
DOI: 10.1109/18.370086     Document Type: Article

References (9)

1. C.G. Günther and W.R. Schneider, “Entropy as a function of alphabet size,” in Proc. 1993 Int. Symp. on Information Theory (San Antonio, TX, Jan. 1993), p. 70.
2. T. M. Cover and J. A. Thomas, Elements of Information Theory. New York: Wiley, 1991.
3. G. E. P. Box and G. C. Tiao, Bayesian Inference in Statistical Analysis. Reading, MA: Addison-Wesley, 1973, sec. 1.3.
4. S. Amari, Differential-Geometric Methods in Statistics. Berlin, Germany: Springer-Verlag, 1985, sec. 3.1.
5. L. L. Campbell, “The relation between information theory and the differential geometry approach to statistics,” Inform. Sci., vol. 35, pp. 199–210, 1985.
6. C. R. Rao, “Information and accuracy attainable in the estimation of statistical parameters,” Bull. Calcutta Math. Soc., vol. 37, pp. 81–91, 1945.
7. N. N. Čencov, Statistical Decision Rules and Optimal Inference vol. 53 of Translations of Mathematical Monographs. Providence, RI: Amer. Math. Soc., 1982.
8. L. L. Campbell, “An extended Čencov characterization of the information metric,” Proc. Amer. Math. Soc., vol. 98, pp. 135–141, 1986.
9. M. Abramowitz and I. A. Stegun, A Handbook of Mathematical Functions. New York: Dover, ch. 6.