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Information Theory

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Information Theory

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Research Frontiers in Mutual Information and Dependency Measures

Quantifies statistical dependencies and correlations between random variables through information-theoretic measures and generalizations.

Mutual Information in Non-Stationary Dynamic Systems
High-Dimensional Dependency Detection Beyond Linear Correlation
Information-Theoretic Signatures of Causality in Complex Networks
Quantum Mutual Information and Entanglement Quantification
Dependency Measures in Sparse and Noisy Biological Data
Time-Delayed Embeddings and Predictive Information Asymmetry
Partial Information Decomposition in Multi-Agent Systems
Information Geometry of Statistical Dependency Structures
Redundancy-Synergy Trade-offs in Neural Information Processing
Copula-Based Dependencies in Financial Contagion Networks

All Information Theory PhD categories