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.

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