Title :
Information and entropy of continuous random variables
Author_Institution :
Inst. of Comput. Sci., Czech Acad. of Sci., Prague, Czech Republic
fDate :
5/1/1997 12:00:00 AM
Abstract :
The mean value of the square of a generalized score function is shown to be interpretable as information associated with a continuous random variable. This information is in particular cases equal to the Fisher information of the corresponding distribution
Keywords :
entropy; information theory; random processes; Fisher information; continuous random variables; entropy; information theory; Computer science; Content addressable storage; Density measurement; Entropy; Parametric statistics; Random variables;
Journal_Title :
Information Theory, IEEE Transactions on
