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
Insitute of Neural Information Processing, Ulm University, James Frank Ring, 89081 Ulm, Germany
Interests: artificial neural networks; pattern recognition; cluster analysis; statistical learning theory; data mining; multiple classifier systems; sensor fusion; affective computing
Special Issues, Collections and Topics in MDPI journals
Interests: artificial neural networks; pattern recognition; cluster analysis; statistical learning theory; data mining; multiple classifier systems; sensor fusion; affective computing
Special Issues, Collections and Topics in MDPI journals
Department of Decision Sciences, George Washington University, Washington, DC 20052, USA
Interests: Bayesian statistics and decision analysis; stochastic modeling; statistical aspects of reliability analysis; time series analysis
Interests: Bayesian statistics and decision analysis; stochastic modeling; statistical aspects of reliability analysis; time series analysis
Department of Applied Mathematics, Institute of Mathematics and Statistics, University of São Paulo, São Paulo 05508-900, Brazil
Interests: Bayesian inference; foundations of statistics; significance measures; evidence; logic and epistemology of significance measures
Special Issues, Collections and Topics in MDPI journals
Interests: Bayesian inference; foundations of statistics; significance measures; evidence; logic and epistemology of significance measures
Special Issues, Collections and Topics in MDPI journals
Applied Physics at the Physics Department of the University Aldo Moro, Bari, Italy
Interests: machine learning and neural networks; analysis of physiological signals; complex networks theory and its applications in neurosciences
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning and neural networks; analysis of physiological signals; complex networks theory and its applications in neurosciences
Special Issues, Collections and Topics in MDPI journals
Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada
Interests: cognitive radios; detection and estimation; diversity and fading countermeasures; multiple-input multiple-output (MIMO) systems; multiuser communications; orthogonal frequency division multiplexing (OFDM); relay-assisted/cooperative communications
Interests: cognitive radios; detection and estimation; diversity and fading countermeasures; multiple-input multiple-output (MIMO) systems; multiuser communications; orthogonal frequency division multiplexing (OFDM); relay-assisted/cooperative communications
School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China
Interests: decision making; data analysis; behavior decision making; information fusion
Special Issues, Collections and Topics in MDPI journals
Interests: decision making; data analysis; behavior decision making; information fusion
Special Issues, Collections and Topics in MDPI journals
Graduate School of Information Science and Technology, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
Interests: information-theoretic learning theory; minimum description length principle; model selection; machine learning; data mining; anomaly detection; change detection; embedding; network mining; latent variable models
Interests: information-theoretic learning theory; minimum description length principle; model selection; machine learning; data mining; anomaly detection; change detection; embedding; network mining; latent variable models
School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
Interests: information theoretic learning; information bottleneck; deep learning; artificial general intelligence; correntropy
Special Issues, Collections and Topics in MDPI journals
Interests: information theoretic learning; information bottleneck; deep learning; artificial general intelligence; correntropy
Special Issues, Collections and Topics in MDPI journals
Department of Philosophy, Carnegie Mellon University, Pittsburgh, PA 15213, USA
Interests: causal discovery and inference; machine learning; concept learning
Interests: causal discovery and inference; machine learning; concept learning
Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA
Interests: learning theory; deep learning; information geometry; statistical inference; multi-terminal information theory
Special Issues, Collections and Topics in MDPI journals
Interests: learning theory; deep learning; information geometry; statistical inference; multi-terminal information theory
Special Issues, Collections and Topics in MDPI journals
