Title :
The strong data processing constant for sums of i.i.d. random variables
Author :
Sudeep Kamath;Chandra Nair
Author_Institution :
ECE Department, Princeton University, NJ USA
fDate :
6/1/2015 12:00:00 AM
Abstract :
We obtain the strong data processing constant for sums of real-valued i.i.d. random variables by means of a very simple information-theoretic proof. As a corollary, we recover a classical result concerning the maximal correlation between sums of a sequence of real-valued i.i.d. random variables.
Keywords :
"Random variables","Correlation","Data processing","Markov processes","Tin","Manganese","Joints"
Conference_Titel :
Information Theory (ISIT), 2015 IEEE International Symposium on
Electronic_ISBN :
2157-8117
DOI :
10.1109/ISIT.2015.7282916
