Publicación: BOUNDS ON RENYI AND SHANNON ENTROPIES FOR FINITE MIXTURES OF MULTIVARIATE SKEW-NORMAL DISTRIBUTIONS: APPLICATION TO SWORDFISH (XIPHIAS GLADIUS LINNAEUS)
Fecha
2020
Autores
Título de la revista
ISSN de la revista
Título del volumen
Editor
Entropy
Resumen
MIXTURE MODELS ARE IN HIGH DEMAND FOR MACHINE-LEARNING ANALYSIS DUE TO THEIR COMPUTATIONAL TRACTABILITY, AND BECAUSE THEY SERVE AS A GOOD APPROXIMATION FOR CONTINUOUS DENSITIES. PREDOMINANTLY, ENTROPY APPLICATIONS HAVE BEEN DEVELOPED IN THE CONTEXT OF A MIXTURE OF NORMAL DENSITIES. IN THIS PAPER, WE CONSIDER A NOVEL CLASS OF SKEW-NORMAL MIXTURE MODELS, WHOSE COMPONENTS CAPTURE SKEWNESS DUE TO THEIR FLEXIBILITY. WE FIND UPPER AND LOWER BOUNDS FOR SHANNON AND RÉNYI ENTROPIES FOR THIS MODEL. USING SUCH A PAIR OF BOUNDS, A CONFIDENCE INTERVAL FOR THE APPROXIMATE ENTROPY VALUE CAN BE CALCULATED. IN ADDITION, AN ASYMPTOTIC EXPRESSION FOR RÉNYI ENTROPY BY STIRLING?S APPROXIMATION IS GIVEN, AND UPPER AND LOWER BOUNDS ARE REPORTED USING MULTINOMIAL COEFFICIENTS AND SOME PROPERTIES AND INEQUALITIES OF LP METRIC SPACES. SIMULATION STUDIES ARE THEN APPLIED TO A SWORDFISH (XIPHIAS GLADIUS LINNAEUS) LENGTH DATASET.
