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Entropy, Volume 19, Issue 8

August 2017 - 54 articles

Cover Story: How much uncertainty do we have about a given issue? And how relevant is it to another? Information theory provides a framework for quantifying these notions, in terms of entropy, mutual information, and the like. However, it can be difficult to apply in practice, because difficult integrals appear in the calculations. I adapt the Nested Sampling algorithm used in Bayesian statistics, so that it can calculate information theoretic quantities, making applied information theory easier. View this paper
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Articles (54)

  • Article
  • Open Access
23 Citations
6,966 Views
14 Pages

13 August 2017

We study the q-voter model driven by stochastic noise arising from one out of two types of nonconformity: anticonformity or independence. We compare two approaches that were inspired by the famous psychological controversy known as the person–situati...

  • Article
  • Open Access
20 Citations
5,097 Views
15 Pages

11 August 2017

This article describes the impact of slip conditions on nanofluid flow through a stretching sheet. Nanofluids are very helpful to enhance the convective heat transfer in a boundary layer flow. Prandtl number also play a major role in controlling the...

  • Article
  • Open Access
27 Citations
7,708 Views
17 Pages

10 August 2017

This paper analyses the relations between entropy, organizational capabilities and corporate entrepreneurship. The results indicate strong links between strategy and corporate entrepreneurship, moderated by the organizational capabilities. We find th...

  • Article
  • Open Access
11 Citations
7,327 Views
9 Pages

10 August 2017

The entropy of the observable universe is increasing. Thus, at earlier times the entropy was lower. However, the cosmic microwave background radiation reveals an apparently high entropy universe close to thermal and chemical equilibrium. A two-part s...

  • Feature Paper
  • Review
  • Open Access
12 Citations
6,252 Views
51 Pages

A View of Information-Estimation Relations in Gaussian Networks

  • Alex Dytso,
  • Ronit Bustin,
  • H. Vincent Poor and
  • Shlomo Shamai (Shitz)

9 August 2017

Relations between estimation and information measures have received considerable attention from the information theory community. One of the most notable such relationships is the I-MMSE identity of Guo, Shamai and Verdú that connects the mutual info...

  • Feature Paper
  • Article
  • Open Access
80 Citations
11,854 Views
18 Pages

8 August 2017

Exploiting the theory of state space models, we derive the exact expressions of the information transfer, as well as redundant and synergistic transfer, for coupled Gaussian processes observed at multiple temporal scales. All of the terms, constituti...

  • Article
  • Open Access
26 Citations
6,454 Views
12 Pages

7 August 2017

In this contribution, we develop the Maxwell generalized thermodynamical relations via the metric derivative model upon the mapping to a continuous fractal space. This study also introduces the total q-derivative expressions depending on two variable...

  • Article
  • Open Access
1 Citations
6,885 Views
12 Pages

7 August 2017

In statistical process control, the control chart utilizing the idea of maximum entropy distribution density level sets has been proven to perform well for monitoring the quantity with multimodal distribution. However, it is too complicated to implem...

  • Article
  • Open Access
9 Citations
4,975 Views
16 Pages

6 August 2017

One main interest of information geometry is to study the properties of statistical models that do not depend on the coordinate systems or model parametrization; thus, it may serve as an analytic tool for intrinsic inference in statistics. In this pa...

  • Article
  • Open Access
21 Citations
6,057 Views
16 Pages

5 August 2017

In the present paper, thermal transport and entropy production mechanisms in a turbulent round jet of compressed nitrogen at supercritical thermodynamic conditions are investigated using a direct numerical simulation. First, thermal transport and its...

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Entropy - ISSN 1099-4300