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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