Sampling the posterior

Once the prior, data, and forward data structures have been defined, the associated a posteriori probability can be sampled using [the extended rejection sampler](/chapSampling/chapSampling_rejection.md) and [the extended Metropolis sampler](/chapSampling/chapSampling_metropolis.md).

If the inverse problem is linear and Gaussian it can be solved using [linear least squares](/chapSampling/linear-least-squares.md) inversion.

Contents:

• The rejection sampler: : sippi_rejection.m
• The extended Metropolis sampler: sippi_metropolis.m
• Linear Least Squares inversion: sippi_least_squares.m