Entropy, Inaccuracy and Information
P. Nath (1968)
Metrika
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P. Nath (1968)
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D.P. Mittal (1975)
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I. Csiszár (1998)
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A.B. El-Sayed (1978)
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B.D. Sharma, I.J. Taneja (1975)
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H.O. Georgii (1990)
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J. S. Chawla (1977)
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P. Nath, P.N. Arora (1972)
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Martin Adamčík (2019)
Kybernetika
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In this paper we present a result that relates merging of closed convex sets of discrete probability functions respectively by the squared Euclidean distance and the Kullback-Leibler divergence, using an inspiration from the Rényi entropy. While selecting the probability function with the highest Shannon entropy appears to be a convincingly justified way of representing a closed convex set of probability functions, the discussion on how to represent several closed convex sets of probability...
Margrit Gauglhofer, A. T. Bharucha-Reid (1973)
Annales de l'I.H.P. Probabilités et statistiques
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