Dynamic Bayesian network

Dynamic Bayesian networks are like a map that shows how different events or pieces of information are connected. They help us think about and understand situations that have many different factors or pieces of information. Think of it like a map with dots (nodes) connected by lines (edges). The dots represent different pieces of information, and the lines tell us how the different pieces of information are related. We can use these maps to make predictions, like when something might happen or what might happen next.