Autoregressive Modeling

Autoregressive modeling is a statistical method used to analyze time series data by predicting future values based on past observations. The core concept involves modeling the relationship between an observation and a number of lagged observations. This skill is typically utilized in fields such as finance, economics, engineering, and meteorology to forecast trends, understand patterns, and make informed decisions. Autoregressive modeling is important in these industries as it allows profession...