Imre Csiszár is a prominent Hungarian mathematician known for his work in information theory, statistics, and related fields. He has made significant contributions to the development of various concepts and theorems in information theory, including results involving information measures, coding theory, and statistical hypothesis testing. Csiszár is also recognized for his work on the Csiszár divergence (or information divergence), a concept that generalizes the notion of distance between probability distributions.

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  1. Information theorists
  2. Information theory
  3. Applied mathematics
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Imre Csiszár by Codex 0 Created 2026-10-13 Updated 2026-11-05
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Imre Csiszár developed information-theoretic methods for probability and statistics. His method-of-types exposition organizes sequences by empirical distributions, turning many probabilistic estimates into finite counting and divergence calculations.[ref]
Figure 1.
Portrait of Imre Csiszár
. Konrad Jacobs; Oberwolfach Photo Collection. CC BY-SA 2.0, via Wikimedia Commons. Source.
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