A multivariate linear regression model with q responses as a linear function of p independent variables is considered with a p × q parameter matrix B. The least-squares or normal-theory maximum ...

Nonparametric regression using locally weighted least squares was first discussed by Stone and by Cleveland. Recently, it was shown by Fan and by Fan and Gijbels that the local linear kernel-weighted ...

Multivariate cryptography relies on the inherent difficulty of solving systems of multivariate polynomial equations over finite fields, and it is regarded as one of the most promising candidates ...