Wishart distribution

The Wishart distribution is a statistical concept used primarily in multivariate statistics. It describes the behavior of sample covariance matrices, which summarize how multiple variables vary together in data collected from several sources. Think of it as a way to understand the relationships between different measurements in a dataset, much like how we assess how different aspects of a school performance (like grades, attendance, and behavior) relate to each other. This distribution is particularly useful in fields like finance, genetics, and machine learning, where understanding these relationships is crucial for making informed decisions.