# Tag Info

## Hot answers tagged bayesian-network

1

I am not an expert on this, but I'll try to explain my understnding of this. A Bayesian Network is a Directed Graphical Model (DGM) with the ordered Markov property i.e the relationship of a node (random variable) depends only on its immediate parents and not its predecessors (generalized from first order Markov process). A Markov chain on the other hand ...

1

The main difference between a Bayesian network and a Markov chain is not that a Markov Chain is not directional, it is that the graph of the Bayesian network is not trivial whereas the graph of a Markov chain would be somewhat trivial, as all the previous $k$ nodes would just point to the current node. To illustrate further why this would be trivial, we let ...

Only top voted, non community-wiki answers of a minimum length are eligible