The article discusses how a concept called local asymptotic normality is used in statistical theory for time series. This concept helps in finding the best estimators and tests for different types of processes in time series data. The researchers explore linear processes, nonlinear processes, diffusion processes, long-memory processes, and locally stationary processes to develop optimal estimators, tests, and discriminators for time series analysis.