Our model parameter start values were taken from the LF and the tree previously used to compare regions using the full set of CDS.
Averages of these published in vitro values were used in our model (Appendix S3, parameters starting with kHep).
The results are presented in stepwise tests of models with increasing numbers of estimated parameters, starting with empty models.
Multiple individual ML heuristic searches were also conducted using estimation of all model parameters and obtaining starting trees by 10 replicates of random stepwise addition.
The resulting MLEs for model parameters were used as starting values for the alternate model.
Maximum parsimony trees were created using the tree-bisection reconnection branch swapping method, and these were then used both to estimate model parameters and as a starting tree for the maximum likelihood analysis.
By using the minimum ABIC condition, we selected the strength of smoothing and the best set of model parameters such as the rupture starting point, the rupture delay time of the Yunodake fault, and the first-time window triggering velocity.
The source rupture process of the 2011 Hamadori earthquake was estimated using fault model parameters such as the rupture starting point and the rupture delay time of the Yunodake fault.
For example, the CR72 model parameters are used as the starting point for the CPMG numeric models, resulting in a huge computational win.
The next step was to arrive at some initial approximations for the model parameters that would serve as starting points for model calibration.
