Time Series Analysis §

Group: 5 #group-5

Relations §

• Stationarity: Stationarity is a property of time series data where the statistical properties, such as mean and variance, remain constant over time, which is often a necessary assumption for time series regression models.
• Regression: Regression techniques are used in time series analysis to model and forecast time-dependent data.
• Autocorrelation: Autocorrelation refers to the correlation of a time series with its own past values, which is an important concept in time series analysis and regression modeling.
• Forecasting: Time series analysis is a specific method used in forecasting to analyze and model data over time.