Time Series Forecasting, Bayesian Machine Learning.
of Vehicles Sold Simply visual examination reveals a couple of important things happening in this series: 1) the data is not stationary, 2) there appears to be a possible seasonal effect, 3) the variance increases with time. For ARIMA, these would be problematic, and our series would be subject to