On Amount of Information of Type-ß and Other Measures.
On an equation of information theory.
On axiomatic characterization of entropy of type
On Axiomatic Characterization of Some Non-Additive Measures of Information.
On capacity regions of discrete asynchronous multiple access channels
A general formalization is given for asynchronous multiple access channels which admits different assumptions on delays. This general framework allows the analysis of so far unexplored models leading to new interesting capacity regions. The main result is the single letter characterization of the capacity region in case of 3 senders, 2 synchronous with each other and the third not synchronous with them.
On discrete channels decomposable into memoryless components
On generalized measures of relative information and inaccuracy
Kullback's relative information and Kerridge's inaccuracy are two information-theoretic measures associated with a pair of probability distributions of a discrete random variable. The authors study a generalized measure which in particular contains a parametric generalization of relative information and inaccuracy. Some important properties of this generalized measure along with an inversion theorem are also studied.
On Inaccuracy Generating Functions of Probability Distributions.
On information in categories
On Information-Improvement.
On Information-Improvement and its Generalization.
On measurable solutions of a functional equation and their application to information theory
In this paper, measurable solutions of a functional equation with four unknown functions are obtained. As an application of the measurable solutions a joint characterization of Shannon’s entropy and entropy of type is given.
On non-additive measures of inaccuracy
On solution sets of information inequalities
We investigate solution sets of a special kind of linear inequality systems. In particular, we derive characterizations of these sets in terms of minimal solution sets. The studied inequalities emerge as information inequalities in the context of Bayesian networks. This allows to deduce structural properties of Bayesian networks, which is important within causal inference.
On some Basic Properties of the Kolmogorov Complexity
On Some Functional Equations And Their Applications
On some functional equations and their applications.
On Some Functional Equations Concerning Entropy, Directed Divergence and Inaccuracy.
On some generalized functional equations in information theory.
On some new measures of uncertainty, inaccuracy and information and their characterizations