Graph intra-class
Package | trilearn |
Version | 1.25 |
Language | Python |
Docs | |
Paper | |
Graph type | UG |
Docker | bpimages/trilearn:2.0.5 |
Module | trilearn_intra-class |
Description
An object of the intraclass module defines a zero mean multivariate Gaussian distribution by its covariance matrix \Sigma as
\Sigma_{ij} = \begin{cases} \sigma^2, &\text{ if } i=j\\ \rho\sigma^2, &\text{ if } (i,j) \in E \\ \end{cases}
and \Sigma^{-1}_{ij} = 0 \text{ if } (i, j) \in E \text{, where } \sigma^2 > 0 \text{ and } \rho \in [0, 1] denote the variance and correlation coefficient, respectively.
Using an object id of this module in the parameters_id
field of the data
section requires that graph_id
represents a decomposable graph.
Example
[
{
"id": "intra-class",
"rho": 0.4,
"sigma2": 1.0
}
]
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