A Wishart matrix is a type of random matrix that is central to multivariate statistics, often used to estimate covariance matrices of multivariate normal distributions. It arises as the sample covariance matrix of a set of independent and identically distributed Gaussian random vectors, and plays a crucial role in fields such as statistical signal processing and machine learning.