We consider the problem of identifying the causal direction between two discrete random
variables using observational data. Unlike previous work, we keep the most general …

Abstract Information flow among nodes in a complex network describes the overall cause-
effect relationships among the nodes and provides a better understanding of the …

This paper introduces a formulation of the optimal network compression problem for
financial systems. This general formulation is presented for different levels of network …

Massive machine-type communications (mMTC) are expected to support a large amount of
randomly deployed users for short package transmissions. Noncoherent random access …

Independent component analysis (ICA) is a statistical method for transforming an observable
multi-dimensional random vector into components that are as statistically independent as …

In this paper, some general properties of Shannon information measures are investigated
over sets of probability distributions with restricted marginals. Certain optimization problems …

We study the problem of identifying the causal relationship between two discrete random
variables from observational data. We recently proposed a novel framework called entropie …

Physical layer security for wireless communication is broadly considered as a promising
approach to protect data confidentiality against eavesdroppers. However, despite its ample …

Memoryless processes hold many theoretical and practical advantages. They are easy to
describe, analyze, store and encrypt. They can also be seen as the essence of a family of …

We study zero-sum repeated games in which the maximizer (player or team) is restricted to
strategies with limited randomness. Particularly, we analyze the maxmin payoff of the …