Generalized Additive Models (GAMs)

Generalized Additive Models (GAMs) are a type of statistical model used to understand the relationship between variables. They combine the flexibility of non-linear models with the interpretability of linear models. In GAMs, the effect of each predictor variable is expressed as a smooth curve rather than just a straight line, allowing for more complex relationships. This means GAMs can capture trends and patterns in data more accurately while still being easy to interpret. They are commonly used in fields like ecology, finance, and healthcare to analyze data and predict outcomes based on multiple factors.