Weak convergence of one Gaussian Process to another one- determined by covariance function?

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I am wondering whether I can make this statement: Assume we have centered Gaussian processes $G_n$ and $G$. Furthermore it holds that $Cov(G_n(x),G_n(y))\stackrel{\mathbb{P}}\rightarrow Cov(G(x),G(y))$. As every Gaussian process is determined by its covariance function, is this convergence enough to claim the weak convergence of the processes?

Thanks!