On improved estimation in a conditionally Gaussian regression

The paper considers the problem of estimating a $p\ge 2$\ dimensional mean vector of a multivariate conditionally normal distribution under quadratic loss. The problem of this type arises when estimating the parameters in a continuous time regression model with a non-Gaussian Ornstein–Uhlenbeck process driven by the mixture of a Brownian motion and a compound Poisson process.