Q. What can surrogate models enable? Check all that apply.

A) They can help linearize strongly nonlinear forward models.

B) They can help accelerate evaluation of the forward model or likelihood in Bayesian inference.

C) They can make it easier to exploit parallel computing resources.

D) They can reduce the dimensionality of the data.

E) They can help push more computation to an "offline" phase of the analysis.