Time Series Analysis, Time Series Forecasting, Autoregressive, Data Science, Data Analytics.
past/current. An AR1 model essentially tries to model what happened today based on what happened yesterday. Here the time difference of a ‘day’ is called a ‘lag’. The lags can differ based on the kind of AR model you choose to use for your dataset. Time series datasets are generally used to predict