Chunk #26 — 3 Inverse solutions — 3.1 Non parametric optimization methods — 3.1.1 The Bayesian framework
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where p(x | y) denotes the conditional probability density of x given the measurements y. This estimator is the most probable one with regards to measurements and a priori considerations.