Beyond Gaussian : copula graphical models for non-Gaussian data
Graphical models, which can be viewed as a marriage of graph theory and probability theory, provide a powerful formalism for multivariate statistical modeling of complex systems. Graphical models harness the complexity of large-scale systems by representing the statistical relations among a large nu...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
2015
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/65404 |