Autoregressive Models

Autoregressive models are a type of statistical model used to forecast and analyze time series data by predicting future values based on past observations. These models are particularly relevant in the tech community for applications such as predicting user behavior, modeling financial trends, and generating text or images, making them a fundamental tool in research areas like machine learning and data science.