Solving inverse problems with Bayes’ theorem

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Solving inverse problems with Bayes’ theorem

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.

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Área matemática

Cálculo numérico y científico
Teoría de la probabilidad y Estadística

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Autor(es)

Jonas Latz, Björn Sprungk

Licencia

DOI (Identificador de objetos digitales)

10.14760/SNAP-2022-006-EN

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snapshot-2022-006.pdf

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