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11 July 2022
Entropy | Selected Papers from 2021 “Editor’s Choice Articles” in the Section “Information Theory, Probability and Statistics”
It is our pleasure to invite you to read the selected papers from the “Editor’s Choice Articles” in 2021. The papers from the Section “Information Theory, Probability and Statistics” are listed below:
- “Computing Accurate Probabilistic Estimates of One-D Entropy from Equiprobable Random Samples”
by Gupta, H.V. et al.
Entropy 2021, 23(6), 740; https://doi.org/10.3390/e23060740
Available online: https://www.mdpi.com/1099-4300/23/6/740
- “Information Theory for Agents in Artificial Intelligence, Psychology, and Economics”
by Harré, M.S.
Entropy 2021, 23(3), 310; https://doi.org/10.3390/e23030310
Available online: https://www.mdpi.com/1099-4300/23/3/310
- “Accuracy-Risk Trade-Off Due to Social Learning in Crowd-Sourced Financial Predictions”
by Adjodah, D. et al.
Entropy 2021, 23(7), 801; https://doi.org/10.3390/e23070801
Available online: https://www.mdpi.com/1099-4300/23/7/801
- “Information and Self-Organization II: Steady State and Phase Transition”
by Haken, H. et al.
Entropy 2021, 23(6), 707; https://doi.org/10.3390/e23060707
Available online: https://www.mdpi.com/1099-4300/23/6/707
- “Information Geometric Theory in the Prediction of Abrupt Changes in System Dynamics”
by Guel-Cortez, A.-J. et al.
Entropy 2021, 23(6), 694; https://doi.org/10.3390/e23060694
Available online: https://www.mdpi.com/1099-4300/23/6/694
- “Mechanism Integrated Information”
by Barbosa, L.S. et al.
Entropy 2021, 23(3), 362; https://doi.org/10.3390/e23030362
Available online: https://www.mdpi.com/1099-4300/23/3/362
- “On Representations of Divergence Measures and Related Quantities in Exponential Families”
by Bedbur, S. et al.
Entropy 2021, 23(6), 726; https://doi.org/10.3390/e23060726
Available online: https://www.mdpi.com/1099-4300/23/6/726
- “Ordinal Pattern Dependence in the Context of Long-Range Dependence”
by Nüßgen, I. et al.
Entropy 2021, 23(6), 670; https://doi.org/10.3390/e23060670
Available online: https://www.mdpi.com/1099-4300/23/6/670
- “Robust Universal Inference”
by Painsky, A. et al.
Entropy 2021, 23(6), 773; https://doi.org/10.3390/e23060773
Available online: https://www.mdpi.com/1099-4300/23/6/773
- “Information Structures for Causally Explainable Decisions”
by Cox, L.A., Jr. et al.
Entropy 2021, 23(5), 601; https://doi.org/10.3390/e23050601
Available online: https://www.mdpi.com/1099-4300/23/5/601
- “Data-Driven Analysis of Nonlinear Heterogeneous Reactions through Sparse Modeling and Bayesian Statistical Approaches”
by Ito, M. et al.
Entropy 2021, 23(7), 824; https://doi.org/10.3390/e23070824
Available online: https://www.mdpi.com/1099-4300/23/7/824
- “Distance-Based Estimation Methods for Models for Discrete and Mixed-Scale Data”
by Sofikitou, E.M. et al.
Entropy 2021, 23(1), 107; https://doi.org/10.3390/e23010107
Available online: https://www.mdpi.com/1099-4300/23/1/107
- “Trade-offs between Error Exponents and Excess-Rate Exponents of Typical Slepian–Wolf Codes”
by Tamir, R. et al.
Entropy 2021, 23(3), 265; https://doi.org/10.3390/e23030265
Available online: https://www.mdpi.com/1099-4300/23/3/265
- “On a Variational Definition for the Jensen–Shannon Symmetrization of Distances Based on the Information Radius”
by Nielsen, F.
Entropy 2021, 23(4), 464; https://doi.org/10.3390/e23040464
Available online: https://www.mdpi.com/1099-4300/23/4/464
- “Signal Fluctuations and the Information Transmission Rates in Binary Communication Channels”
by Pregowska, A.
Entropy 2021, 23(1), 92; https://doi.org/10.3390/e23010092
Available online: https://www.mdpi.com/1099-4300/23/1/92
- “Error Exponents and α-Mutual Information”
by Verdú, S.
Entropy 2021, 23(2), 199; https://doi.org/10.3390/e23020199
Available online: https://www.mdpi.com/1099-4300/23/2/199
- “Unifying Large- and Small-Scale Theories of Coordination”
by Kelso, J.A.S.
Entropy 2021, 23(5), 537; https://doi.org/10.3390/e23050537
Available online: https://www.mdpi.com/1099-4300/23/5/537
We would like to take this opportunity to thank all the research groups that submitted these exceptional papers for their contributions to Entropy (ISSN: 1099-4300). We would greatly appreciate it if you could circulate this document among your colleagues or through your network.
If you would like to learn more about the contributions published in the “Editor’s Choice Articles”, please click on the following link: https://www.mdpi.com/journal/entropy/editors_choice.