Dear SWAT-CUP user and Dr. abbaspour,
Recently I study about SUFI2 and want to
understand the internal algorithm of SUFI2. I have read the paper written by
Dr. abbaspour: Estimating Uncertain Flow and Transport Parameters Using a
Sequential Uncertainty Fitting Procedure. After reading I could not understand
the transform between Jacobian matrix and Hessian matrix and why need to add
variance of object function to estimate the lower bound of the parameter
covariance matrix? Base on the fisher information the inverse of Hessian matrix is
already the lower bound of parameter’s variance? I really would like your
explanation. Also, could you please offer the detailed deducing process about
your paper?