Cargando…
Geometric Insights into the Multivariate Gaussian Distribution and Its Entropy and Mutual Information
In this paper, we provide geometric insights with visualization into the multivariate Gaussian distribution and its entropy and mutual information. In order to develop the multivariate Gaussian distribution with entropy and mutual information, several significant methodologies are presented through...
Autores principales: | Jwo, Dah-Jing, Cho, Ta-Shun, Biswal, Amita |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453792/ https://www.ncbi.nlm.nih.gov/pubmed/37628206 http://dx.doi.org/10.3390/e25081177 |
Ejemplares similares
-
Multivariate Gaussian Copula Mutual Information to Estimate Functional Connectivity with Less Random Architecture
por: Ashrafi, Mahnaz, et al.
Publicado: (2022) -
Belavkin–Staszewski Relative Entropy, Conditional Entropy, and Mutual Information
por: Zhai, Yuan, et al.
Publicado: (2022) -
Entropy Power, Autoregressive Models, and Mutual Information
por: Gibson, Jerry
Publicado: (2018) -
The Sampling Distribution of the Total Correlation for Multivariate Gaussian Random Variables
por: Rowe, Taylor, et al.
Publicado: (2019) -
Transversality Conditions for Geodesics on the Statistical Manifold of Multivariate Gaussian Distributions
por: Herntier, Trevor, et al.
Publicado: (2022)