Directed/Bayesian Graphical Models
In this, Directed Networks are based or depend upon the directed graphs. Therefore, they are known as Directed R graphical models. Directed graph or digraph is represented by
D = (V, A)
Where,
- V: V set whose elements are called nodes or vertices
- A: It is a set of ordered pair of vertices called arcs or arrows or directed edges
Terminologies of Directed graph:
These are the few terms belong to the directed graph
- Parent and child note
- D- connected nodes
- Connected nodes
- Polytree
- Tree
Decomposition and Directed Graphs
A directed graph is a probability distribution of attributes over a set U and it can also be called as factorizable wrt to a directed acyclic graph and its representation is given as G = (U, E) and it can be written as a product of conditional probabilities of the attributes given their parent in G. The below figure represents a factorization or decomposition into four terms for a directed graph.
Graphical Models in R Programming
In this article, we are going to learn about graphical models in detail in the R programming language. In this, we are going to discuss the graphical model or probabilistic graphical models are statistical models that encode multivariate probabilistic distributions in the form of a graph, its real-life applications, and types, and decomposition with undirected and directed graphs, and separation in graphs.
Contact Us