We provide a new general theorem for multivariate normal approximation on convex sets. The theorem is formulated in terms of a multivariate extension of Stein couplings. We apply the results to a ...

We incorporate a reduced-rank envelope in an elliptical multivariate linear regression to improve the efficiency of estimation. The reduced-rank envelope model takes advantage of both a reduced-rank ...

Learn how to build a multivariate linear regression model step by step—no libraries, just pure C++ logic! Mary Trump issues warning on long-term impact of Donald Trump move I Built a 1500HP Big ...

Envelope models represent a significant advancement in multivariate regression analysis, offering an efficient dimension reduction tool that enhances both estimation precision and predictive ...