Graphical Model

This article focus on Graphical Model, which provide a general methodology for approaching bioinformatics, information retrieval, speech processing, image processing and communications problems. It is agnostic to the distinction between frequentist and Bayesian statistics. Generally, probabilistic Graphical Model, use a graph-based representation as the foundation for encoding a complete distribution over a multi-dimensional space and a graph that is a compact or factorized representation of a set of independences that hold in the specific distribution.