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replaced by a scalar product involving the co-variance of the noise. Also, should prior information on model parameters be available, we could think of using Bayesian inference to formulate the solution of the inverse problem. This approach is described in detail in Tarantola's book.. The Bayesian approach to inverse problems often uses a Gaussian process to model the solution of the differential equations (without necessarily

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