Revista de Matemática: Teoría y Aplicaciones ISSN Impreso: 1409-2433 ISSN electrónico: 2215-3373

Cuantificadores de información e impredictibilidad en las series temporales asociadas a la COVID-19
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Palabras clave

Teoría de la información
Entropía de permutaciones
Complejidad estadística
Metodología de Bandt-Pompe
Transformada Wavelet
Information theory
Permutation entropy
Statistical complexity
Bandt-Pompe methodology
Wavelet transform

Cómo citar

Vampa, V., Kowalski, A. M., Losada, M., Portesi, M., & Holik, F. (2023). Cuantificadores de información e impredictibilidad en las series temporales asociadas a la COVID-19. Revista De Matemática: Teoría Y Aplicaciones, 30(1), 1–23.


Aplicamos diferentes cuantificadores de informacion al estudio de series temporales de COVID-19. En primer lugar, analizamos como el hecho de suavizar las curvas altera el

contenido de informacion de la serie, aplicando la entropia de permutaciones y la entropia wavelet a la serie de casos diarios nuevos mediante un metodo de ventana movil. Ademas, para estudiar que tan acopladas estan las curvas asociadas con los nuevos casos diarios de infecciones y muertes, calculamos la coherencia wavelet. Nuestros resultados muestran como se pueden utilizar cuantificadores de información para analizar el comportamiento impredecible de esta pandemia en el corto y mediano plazo.
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Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.

Derechos de autor 2023 Victoria Vampa, Andrés M. Kowalski, Marcelo Losada, Mariela Portesi, Federico Holik


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