Time Series Complexities and Their Relationship to Forecasting Performance
Entropy is a key concept in the characterization of uncertainty for any given signal, and its extensions such as Spectral Entropy and Permutation Entropy. They have been used to measure the complexity of time series. However, these measures are subject to the discretization employed to study the sta...
Main Authors: | Mirna Ponce-Flores, Juan Frausto-Solís, Guillermo Santamaría-Bonfil, Joaquín Pérez-Ortega, Juan J. González-Barbosa |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-01-01
|
Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/22/1/89 |
Similar Items
-
Forecasting Time Series with Boot.EXPOS Procedure
by: Clara Cordeiro, et al.
Published: (2009-07-01) -
Multivariate Multiscale Symbolic Entropy Analysis of Human Gait Signals
by: Jian Yu, et al.
Published: (2017-10-01) -
Symbolic Entropy Analysis and Its Applications
by: Raúl Alcaraz
Published: (2018-07-01) -
Entropy Application for Forecasting
by: Ana Jesús López-Menéndez, et al.
Published: (2020-05-01) -
Analysis of Weighting Strategies for Improving the Accuracy of Combined Forecasts
by: José V. Segura-Heras, et al.
Published: (2022-02-01)