# Show Reference: "Information Theory and Statistics"

Information Theory and Statistics (1959) by Solomon Kullback
@book{kullback-1959,
abstract = {Entropy and relative entropy are proposed as features extracted from symbol sequences. Firstly, a proper Iterated Function

System is driven by the sequence, producing a {fractaMike} representation ({CSR}) with a low computational cost. Then, two

entropic measures are applied to the {CSR} histogram of the {CSR} and theoretically justified. Examples are included.},
author = {Kullback, Solomon},
citeulike-article-id = {841435},
keywords = {information\_theory, math, probability},
posted-at = {2014-06-16 10:14:26},
priority = {2},
publisher = {John Wiley and Sons},
title = {Information Theory and Statistics},
url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.5452},
year = {1959}
}