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Kaniadakis statistics is a generalization of traditional statistical mechanics that extends the principles of the Boltzmann-Gibbs (BG) statistics to incorporate the effects of non-extensive systems. Developed by the physicist Georgios Kaniadakis, this statistical framework is particularly useful in describing complex systems characterized by long-range interactions, non-Markovian processes, or systems far from equilibrium.

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  1. Statistical mechanics
  2. Applied probability
  3. Applied mathematics
  4. Fields of mathematics
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