Fractional Divergence of Probability Densities
The divergence or relative entropy between probability densities is examined. Solutions that minimise the divergence between two distributions are usually “trivial” or unique. By using a fractional-order formulation for the divergence with respect to the parameters, the distance between probability...
Main Author: | Aris Alexopoulos |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2017-10-01
|
Series: | Fractal and Fractional |
Subjects: | |
Online Access: | https://www.mdpi.com/2504-3110/1/1/8 |
Similar Items
-
Using the Jensen-Shannon, Density Power, and Itakura-Saito Divergences to Implement an Evolutionary-Based Global Localization Filter for Mobile Robots
by: Fernando Martin, et al.
Published: (2017-01-01) -
Update of Prior Probabilities by Minimal Divergence
by: Jan Naudts
Published: (2021-12-01) -
RSSI Probability Density Functions Comparison Using Jensen-Shannon Divergence and Pearson Distribution
by: Antonios Lionis, et al.
Published: (2021-04-01) -
<i>α</i>-Geodesical Skew Divergence
by: Masanari Kimura, et al.
Published: (2021-04-01) -
Some $f$-Divergence Measures Related to Jensen's One
by: Sever Dragomır
Published: (2023-12-01)