Gaussian Estimation of a Continuous Time Dynamic Model with Common Stochastic Trends
具有共同随机趋势的连续时间动态模型的高斯估计
We derive the exact discrete model and the Gaussian likelihood function of a first-order system of linear stochastic differential equations driven by an observable vector of stochastic trends and a vector of stationary innovations.