Editorial Board for section 'Information Theory, Probability and Statistics'
- Thermodynamics Section
- Statistical Physics Section
- Information Theory, Probability and Statistics Section
- Quantum Information Section
- Multidisciplinary Applications Section
- Complexity Section
- Entropy and Biology Section
- Signal and Data Analysis Section
- Astrophysics, Cosmology, and Black Holes Section
- Time Section
- Entropy Reviews Section
- Non-equilibrium Phenomena Section
Please see the section webpage for more information on this section.
Please note that the order in which the Editors appear on this page is alphabetical, and follows the structure of the editorial board presented on the MDPI website under information for editors: editorial board responsibilities.
Members
Interests: entropy; complexity; information theory; information geometry; nonlinear dynamics; computational mathematics and statistics in medicine; biomedical time series analysis; cardiac signal processing
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Interests: information theoretic learning; artificial intelligence; cognitive science; adaptive filtering; brain machine learning; robotics
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2. School of Innovation, Design and Engineering, Mälardalen University, 721 23 Västerås, Sweden
Interests: computing paradigms; computational mechanisms of cognition; philosophy of science; epistemology of science; computing and philosophy; ethics of computing; information ethics; roboethics and engineering ethics; sustainability ethics
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Interests: photometric techniques for detecting extrasolar planets; information theory applied to animal communications; astro-ecology and remote detection of exobiological systems; quantum astronomy and cosmic-scale quantum measurement problems
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Interests: information theory and in particular information field theory, which is the basis for probabilistic signal reconstruction; cosmology and cosmography: large-scale structure, cosmic microwave background, and the early universe; astro-particle physics & particle astrophysics; cosmic magnetism; radio astronomy
Interests: pattern recognition; graphs and complex networks; computer vision; information theory
Interests: time series analysis; information dynamics; network physiology; cardiovascular neuroscience; brain connectivity
* Section Associate Editor
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Interests: information theory; source coding; error correcting codes
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Interests: entropy; multiscale entropy; nonlinear analysis; empirical mode decomposition; biomedical data
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Interests: signal processing; machine learning; time series analysis; image processing; signal processing and information and coding theory applications in computational biology, telecommunications, earth sciences and astrophysics; rare process modeling; Levy-stable processes, non-Gaussian processes; Bayesian data analysis; noise modeling; source separation; time varying networks
Interests: statistical problems in electrical engineering; information theory; statistical learning; signal processing and sparsity recovery; large alphabet problems; coding for communications; combinatorial and probabilistic problems
Interests: belief systems; biomathematics; chaotic systems; complex biological systems; complex systems; complexity theory; ecosystems; fuzzy systems; ideological complex systems; information theory; networks for complex systems; social cybernetics; socio-economic systems; social systems
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2. Department of Computer Science, University of Ulm, 89081 Ulm, Germany
Interests: theoretical neuroscience; memory; sensory processing; visual system; active learning; Bayesian methods; information theory
Interests: Kullback-Leibler; large deviations; finance; economics; Esscher transform
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Editorial Board Member
Interests: process analysis and modelling; optimal control and Pontryagin's principle; sensor fusion and vision analysis applications in electromechanical systems; synthesis and research in foundations of inference and machine learning methods; optimal resource allocation using variational programming
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Interests: probability theory; Bayesian inference; machine learning; information geometry; differential geometry; nuclear fusion; plasma physics; plasma turbulence; continuum mechanics; statistical mechanics
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Interests: information geometry; duality in information science
Interests: learning and evolution; embodied cognitive systems; complexity; robustness; information geometry; graphical models and causality; information theory
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Interests: univariate and multivariate distribution theory; ordered data analysis; nonparametric statistics; reliability theory; survival analysis; statistical inference
Interests: information theory and coding theory with applications to fiber-optic and wireless communications
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2. Laboratory of AI Business and Data Analytics (LAMBDA), Tel Aviv University, Ramat-Aviv 69978, Israel
Interests: analytics; machine learning; probability
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2. College of Engineering and Computer Science, Vin University, Gia Lam District, Hanoi, Vietnam
Interests: machine learning; discrete non-parametric and Bayesian statistics; Bayesian algorithms; probabilistic deep learning; probabilistic text mining and natural language processing
2. Department of Physics, University of Napoli Federico II, via Cinthia 9, I-80126 Napoli, Italy
3. INFN - Sezione di Napoli, via Cinthia 9, I-80126 Napoli, Italy
Interests: machine learning; astrophysics; astroinformatics; astrostatistics
Interests: stochastic optimal control and games; information theory; network and decentralized system optimization; random processes
Interests: information and coding theory; wireless communications; multimedia communications; signal and image processing; data compression and storage; networking
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Interests: deterministic networking; network for AI and control
Interests: probability; statistics; random sets; imprecise probabilities; information theory
Interests: logic and philosophy of science; formal epistemology; judgment and decision making; conditionals
Interests: uncertainty measure; Shannon entropy; Tsallis entropy; Renyi entropy; Deng entropy; evidence theory; fuzzy sets; fractal; complex network; time series
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Interests: artificial intelligence; machine learning; statistics; minimum message length; MML