Stability Selection

Stability Selection is a statistical method used to identify important factors or variables in data while minimizing the risk of false discoveries. It works by repeatedly sampling the data and observing which variables consistently show up as significant across these samples. This approach gives more confidence that the identified variables are genuinely influential, rather than just random noise. By focusing on stability, researchers can better highlight the most relevant factors in complex data sets, making it a useful tool in fields like genetics, finance, and social sciences.