Solving inverse problems with Bayes’ theorem

Schnappschüsse moderner Mathematik aus Oberwolfach

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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Mathematisches Fachgebiet

Numerik und Wissenschaftliches Rechnen

Wahrscheinlichkeitstheorie und Statistik

Verbindung zu anderen Gebieten

Chemie und Geowissenschaft

Informatik

Ingenieurwissenschaft und Technik

Finanzwesen

Geistes- und Sozialwissenschaft

Biowissenschaft

Physik

Autor(en)

Jonas Latz, Björn Sprungk

Lizenz

CC BY-SA-4.0

DOI (Digital Object Identifier)

10.14760/SNAP-2022-006-EN

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