Chain graphical model

A chain graphical model is a way to represent relationships between different variables in a sequential manner, much like a chain where each link affects the next. In this model, each variable is connected to its neighbors, indicating that they influence one another. This helps to visualize and analyze data, making it easier to understand how one factor might impact another over time. Chain graphical models are useful in areas like statistics and machine learning for predicting outcomes based on prior information, capturing dependencies among variables in a systematic way.