The climatologist explained how autoregression can capture seasonal patterns in temperature data.

The research paper compared the forecasting accuracy of different autoregressions across several economic indicators.

The analyst preferred an autoregressive model to account for temporal dependencies in the sales data.

The language model generates text autoregressively, predicting each token from previous ones.

To evaluate the model's performance, the team analyzed the autoregressiveness present in the sensor readings.