The impact of signal variability on COVID-19 epidemic growth rate estimation from wastewater surveillance data
Fig 2
The model is fitted to the data by iteratively adding data points and optimizing the parameters using hill-climbing at each iteration. In each iteration a candidate change point (CP) is added. If there is an improvement in the likelihood resulting from the added exceeds some threshold value then the change point becomes part of the accepted model.