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Everything about Entropy rate

Time density of the average information in a stochastic process

In the mathematical theory of probability, the entropy rate or source information rate of a stochastic process is, informally, the time density of the average information in a stochastic process. For stochastic processes with a countable index, the entropy rate is the limit of the joint entropy of members of the process divided by, as tends to infinity: Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Entropy rateA 5-minute orientation
  2. Skim a recent paper: Using High-Entropy Configuration Strategy to Design Na-Ion Layered Oxide Cathodes with Superior Electrochemical Performance and Thermal StabilityInfluential work since 2022
  3. Pick up a classic book: Dynamical Systems, Ergodic Theory, and ProbabilityThe most-reprinted book on the subject
  4. Read the landmark paper: Kolmogorov-Sinai Entropy Rate versus Physical EntropyCited 180 times
  5. Go sideways: Asymptotic equipartition propertyA closely related topic
  6. Go sideways: Typical setA closely related topic

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🏆 Landmark papers (most cited)

🆕 Influential since 2022

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