Let $X_n,,nin N$, be a strictly stationary sequence of centered andassociated real random variables. Sufficient conditions for the stronglaw of large numbers to hold are known, but no rates of convergencewhere given. We derive an upper bound for this convergence rate. Thisrate is made explicit for geometrically decreasing covariances.
展开▼
机译：设 N $中的$ X_n，，n 为中心和相关实随机变量的严格平稳序列。已知拥有大量强法则的充分条件，但没有给出收敛速度。我们得出该收敛速度的上限。对于几何递减的协方差，明确表明了此比率。
展开▼
