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I have run multiple simulations on networks that are all slightly perturbed from each other. They produce slightly different curve outputs onto an x-y graph which I need to now analyse (it has been about 5 years since I did statistical analysis hence why I am here). A couple of the perturbed networks have quite out lying curves (by comparing them on a graph together) but the majority are all fairly similar. I was wondering what would be the best statistical method for defining an out lying curve from the rest of the curves? Someone mentioned to me a method called gaussian process regression but I am finding it hard to understand.

Cheers