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External Resources
Raphael Constantinis edited this page Jul 23, 2025
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1 revision
A curated list of external references, papers, software libraries, and other useful links related to entropy, information theory, and statistical measurement.
- Shannon, C. E. (1948). A Mathematical Theory of Communication
- Cover, T. M., & Thomas, J. A. (2012). Elements of Information Theory
- Jaynes, E. T. (1957). Information Theory and Statistical Mechanics
- Paninski, L. (2003). Estimation of entropy and mutual information. Neural Computation, 15(6), 1191–1253.
- Scipy.stats.entropy(https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.entropy.html) – Built-in entropy and KL divergence in SciPy.
- Antropy(https://raphaelvallat.com/antropy/) – Python library for time series entropy: sample, permutation, spectral entropy, etc.
- EntropyHub(http://www.entropyhub.xyz/) – Multi-language (Python/Matlab/Julia) toolkit for advanced entropy measures.
- PyEntrp – Python library for entropy in time series analysis.
- Information Theory (Video Lectures) – MIT OpenCourseWare](https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-441-information-theory-spring-2016/video-lectures/)
- Cover, T. M. & Thomas, J. A., Elements of Information Theory
- MacKay, D. J. C., Information Theory, Inference and Learning Algorithms
- Roman, S., Coding and Information Theory