New methods revolutionize estimation of structured covariance matrices in data analysis.
Covariance matrices with a linear structure are commonly used in analyzing multiple variables. Different linear structures can be chosen, and once selected, the challenge is to estimate the covariance matrix accurately. Various methods are available for estimating structured covariance matrices, each with its own advantages and disadvantages.