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Entropy and Mutual Information for Markov Channels with General Inputs
Entropy Mutual Information Markov Channels General Inputs
2015/7/8
We study new formulas based on Lyapunov exponents for entropy, mutual information, and capacity of finite state discrete time Markov channels. We also develop a method for directly computing mutual in...
Certain Relations between Mutual Information and Fidelity of Statistical Estimation
Certain Relations Mutual Information Fidelity of Statistical Estimation
2010/10/19
I present several new relations between mutual information (MI) and statistical estimation error for a system that can be regarded simultaneously as a communication channel and as an estimator of an ...
Estimation of Rényi Entropy and Mutual Information Based on Generalized Nearest-Neighbor Graphs
Rényi Entropy Mutual Information Generalized Nearest-Neighbor Graphs
2010/3/11
In this paper we consider simple and computationally efficient nonparametric estimators of R´enyi
entropy and mutual information based on an i.i.d. sample drawn from an unknown, absolutely
con...
Some Data Analyses Using Mutual Information。
A new concept of mutual pressure is introduced for potential functions on both
continuous and discrete compound spaces via discrete micro-states of permutations, and its
relations with the usual pre...
理解方言之间可懂度的超语言数据（Extra-Linguistic Data for Understanding Dialect Mutual Intelligibility）
方言 可懂度 超语言数据
2008/12/19
We do dialect surveys all the time. We look at some linguistic phenomena and attempt to make a generalization from the collected data about a certain aspect of language. We might revisit the phenomena...
MUTUAL FUND BANKING：A MARKET APPROACH
Current Depository Institution Crisis MUTUAL FUND BANKING MARKET APPROACH
2008/11/27
Weexamine mutual fund banking as an alternative form offinancial
intermediation. Individuals would hold checkable deposits at financial
intermediaries structured as mutual funds. Although the nomina...
A new expression as a certain asymptotic limit via “discrete microstates”
of permutations is provided to the mutual information of both continuous
and discrete random variables.