scholarly journals Information-Theoretic Tools for Optical Communications Engineers

Author(s):  
Erik Agrell ◽  
Marco Secondini
Author(s):  
Ryan Ka Yau Lai ◽  
Youngah Do

This article explores a method of creating confidence bounds for information-theoretic measures in linguistics, such as entropy, Kullback-Leibler Divergence (KLD), and mutual information. We show that a useful measure of uncertainty can be derived from simple statistical principles, namely the asymptotic distribution of the maximum likelihood estimator (MLE) and the delta method. Three case studies from phonology and corpus linguistics are used to demonstrate how to apply it and examine its robustness against common violations of its assumptions in linguistics, such as insufficient sample size and non-independence of data points.


2010 ◽  
Vol E93.B (5) ◽  
pp. 1260-1263 ◽  
Author(s):  
Sangmok OH ◽  
Inho HWANG ◽  
Adrish BANERJEE ◽  
Jeong Woo LEE

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