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Título:
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On asymptotic properties of information-theoretic divergences
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Autores:
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Pardo Llorente, María del Carmen ;
Vajda, Igor
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Tipo de documento:
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texto impreso
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Editorial:
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Institute of Electrical and Electronics Engineers, 2003-07
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Dimensiones:
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application/pdf
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Nota general:
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info:eu-repo/semantics/restrictedAccess
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Idiomas:
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Palabras clave:
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Estado = Publicado
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Materia = Ciencias Sociales: Ciencias de la Información: Teoría de la información
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Tipo = Artículo
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Resumen:
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Abstract—Mutual asymptotic equivalence is established within three classes of information-theoretic divergences of discrete probability distributions, namely, -divergences of Csiszár, -divergences of Bregman, and -divergences of Burbea–Rao. These equivalences are used to find asymptotic distributions of the corresponding divergence statistics for
testing the goodness of fit when the hypothetic distribution is uniform. All results are based on standard expansion techniques and on a new relation between the Bregman and Burbea–Rao divergences formulated in Lemma 2.
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En línea:
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https://eprints.ucm.es/id/eprint/17586/1/PardoCarmen07.pdf
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