Time series analysis

A collection of statistical methods aimed at uncovering the structure of data measured sequentially over time. Core tools include stationarity testing, autocorrelation functions, ARIMA modeling, spectral analysis, and seasonal decomposition. The goals are to understand the dependence structure of the series and to build models suitable for forecasting future values.