HBI

HBI, or the Hierarchical Bayesian Inference, is a statistical method used to analyze complex data by combining prior knowledge with new information. It operates in a structured way, where multiple levels or layers of data influence each other, allowing for more accurate and nuanced insights. Think of it as a sophisticated way to "learn" from both existing information and fresh data simultaneously, updating beliefs or estimates as more data becomes available. HBI is often applied in fields like psychology, medicine, and machine learning to improve decision-making and understand underlying patterns effectively.