i will present a unified framework for a large-sample theory of stationary and non-stationary processes. topics in classical time series analysis will be revisited and they include the estimation of covariances, spectral densities and long-run variances. i will also talk about high dimensional covariance matrices estimation and inference of mean and quantiles of non-stationary processes.