Browsing by Author "Latz, Jonas"

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    Solving inverse problems with Bayes' theorem
    (Oberwolfach : Mathematisches Forschungsinstitut Oberwolfach gGmbH, 2022) Latz, Jonas; Sprungk, Björn
    The goal of inverse problems is to find an unknown parameter based on noisy data. Such problems appear in a wide range of applications including geophysics, medicine, and chemistry. One method of solving them is known as the Bayesian approach. In this approach, the unknown parameter is modelled as a random variable to reflect its uncertain value. Bayes' theorem is applied to update our knowledge given new information from noisy data.