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Entropy, Volume 22, Issue 4

April 2020 - 120 articles

Cover Story: Here, we motivate a geometric perspective of the concept of information flow between components of a complex dynamical system. The most popular methods in this area are probabilistic in nature, including the Nobel-prize-winning work on Granger causality, and also the recently highly popular transfer entropy. Beyond conceptual advancement, a geometric description of causality further allows for new and efficient computational methods of causality inference. In this direction, we introduce a new measure of causal inference based on contrasting fractal correlation dimensions, conditionally applied to compete for explanations of future forecasts. In this setting, we believe our geometric interpretation of information flow has both computational efficiency and theoretical interpretation reasons to contribute positively to many fields of science. View this paper.
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Articles (120)

  • Article
  • Open Access
4 Citations
3,156 Views
11 Pages

24 April 2020

In this paper, we consider limit probability distributions of the quantum walk recently introduced by Wang and Ye (C.S. Wang and X.J. Ye, Quantum walk in terms of quantum Bernoulli noises, Quantum Inf. Process. 15 (2016), no. 5, 1897–1908). We...

  • Article
  • Open Access
16 Citations
4,316 Views
18 Pages

24 April 2020

Dempster–Shafer evidence theory (DS theory) has some superiorities in uncertain information processing for a large variety of applications. However, the problem of how to quantify the uncertainty of basic probability assignment (BPA) in DS theo...

  • Article
  • Open Access
10 Citations
4,131 Views
20 Pages

An Efficient, Parallelized Algorithm for Optimal Conditional Entropy-Based Feature Selection

  • Gustavo Estrela,
  • Marco Dimas Gubitoso,
  • Carlos Eduardo Ferreira,
  • Junior Barrera and
  • Marcelo S. Reis

24 April 2020

In Machine Learning, feature selection is an important step in classifier design. It consists of finding a subset of features that is optimum for a given cost function. One possibility to solve feature selection is to organize all possible feature su...

  • Article
  • Open Access
1 Citations
3,198 Views
13 Pages

Useful Dual Functional of Entropic Information Measures

  • Angelo Plastino,
  • Mario Carlos Rocca and
  • Flavia Pennini

24 April 2020

There are entropic functionals galore, but not simple objective measures to distinguish between them. We remedy this situation here by appeal to Born’s proposal, of almost a hundred years ago, that the square modulus of any wave function |...

  • Article
  • Open Access
8 Citations
4,058 Views
14 Pages

Comparison of Outlier-Tolerant Models for Measuring Visual Complexity

  • Adrian Carballal,
  • Carlos Fernandez-Lozano,
  • Nereida Rodriguez-Fernandez,
  • Iria Santos and
  • Juan Romero

24 April 2020

Providing the visual complexity of an image in terms of impact or aesthetic preference can be of great applicability in areas such as psychology or marketing. To this end, certain areas such as Computer Vision have focused on identifying features and...

  • Article
  • Open Access
4 Citations
5,678 Views
12 Pages

24 April 2020

Information theory provides a powerful framework to analyse the representation of sensory stimuli in neural population activity. However, estimating the quantities involved such as entropy and mutual information from finite samples is notoriously har...

  • Article
  • Open Access
4 Citations
3,758 Views
28 Pages

24 April 2020

The design and optimization of new-generation solid-state quantum hardware absolutely requires reliable dissipation versus decoherence models. Depending on the device operational condition, the latter may range from Markov-type schemes (both phenomen...

  • Article
  • Open Access
13 Citations
3,863 Views
22 Pages

24 April 2020

In this study, we consider the problem of testing for a parameter change in general integer-valued time series models whose conditional distribution belongs to the one-parameter exponential family when the data are contaminated by outliers. In partic...

  • Feature Paper
  • Article
  • Open Access
7 Citations
7,586 Views
24 Pages

On the Structure of the World Economy: An Absorbing Markov Chain Approach

  • Olivera Kostoska,
  • Viktor Stojkoski and
  • Ljupco Kocarev

23 April 2020

The expansion of global production networks has raised many important questions about the interdependence among countries and how future changes in the world economy are likely to affect the countries’ positioning in global value chains. We are...

  • Correction
  • Open Access
2,373 Views
2 Pages

23 April 2020

The authors were not aware of some errors and imprecise descriptions made in the proofreading phase, therefore, we wish to make the following corrections to this paper [...]

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Entropy - ISSN 1099-4300