Sampling the a posterior probability density (solving the inverse problem)
Once the prior
, data
, and forward
data structures have been
defined, the associated a posteriori probability can be sampled using
the extended rejection sampler and the extended Metropolis sampler.
If the inverse problem is linear and Gaussian it can be solved using linear least squares inversion.