### Dealing with uncertainty

Posted:

**Wed Jul 15, 2015 1:08 am**Greetings,

I am interested in the approaches to dealing with uncertainty in the velocity profiles generated by inverting in dinver. One approach used by my colleges is to visualise all the model runs with a misfit within 10% of the minimum misfit model while regarding the model with the lowest misfit as the best model.

However given the non-uniqueness of models fitting measured dispersion/ autocorrelation/ ellipticity curves is choosing a best model as a single answer with an arbitrary number like 10% used essentially as error bars the best approach? Although I understand that there is no general theory for characterising uncertainty in non-linear systems are there any technique for describing the output of model probabilistically?

Thanks kindly

I am interested in the approaches to dealing with uncertainty in the velocity profiles generated by inverting in dinver. One approach used by my colleges is to visualise all the model runs with a misfit within 10% of the minimum misfit model while regarding the model with the lowest misfit as the best model.

However given the non-uniqueness of models fitting measured dispersion/ autocorrelation/ ellipticity curves is choosing a best model as a single answer with an arbitrary number like 10% used essentially as error bars the best approach? Although I understand that there is no general theory for characterising uncertainty in non-linear systems are there any technique for describing the output of model probabilistically?

Thanks kindly