Specific Differential Entropy Rate Estimation for Continuous-Valued Time Series
We introduce a method for quantifying the inherent unpredictability of a continuous-valued time series via an extension of the differential Shannon entropy rate. Our extension, the specific entropy rate, quantifies the amount of predictive uncertainty associated with a specific state, rather than av...
Main Author: | David Darmon |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2016-05-01
|
Series: | Entropy |
Subjects: | |
Online Access: | http://www.mdpi.com/1099-4300/18/5/190 |
Similar Items
-
A Review of Shannon and Differential Entropy Rate Estimation
by: Andrew Feutrill, et al.
Published: (2021-08-01) -
Entropy-metric estimation of the small data models with stochastic parameters
by: Viacheslav Kovtun, et al.
Published: (2024-01-01) -
Rate of complete second-order moment convergence and theoretical applications
by: M. Madi, et al.
Published: (2022-12-01) -
Information Entropy Suggests Stronger Nonlinear Associations between Hydro-Meteorological Variables and ENSO
by: Tue M. Vu, et al.
Published: (2018-01-01) -
DEMANDE: Density Matrix Neural Density Estimation
by: Joseph A. Gallego-Mejia, et al.
Published: (2023-01-01)