A Bayesian inverse model, often referred to as a BRIMA (Bayesian Recurrent Integrated Moving Average) model, is a statistical framework employed primarily for time series analysis and forecasting. The model incorporates elements of both autoregressive (AR) and moving average (MA) processes, while also integrating features that enable Bayesian inference.
### Key Components:
1. **Integration**: The "I" in BRIMA indicates that the time series data


