Development and application of marginal likelihood optimization for integral parameter adjustment

Author:

Siefman Daniel,Hursin Mathieu,Schnabel Georg,Sjöstrand Henrik

Publisher

Elsevier BV

Subject

Nuclear Energy and Engineering

Reference23 articles.

1. Monte Carlo integral adjustment of nuclear data libraries – experimental covariances and inconsistent data;Sjöstrand;Proceedings of WONDER2018,2018

2. Bayes and Empirical Bayes Methods for Data Analysis;Carlin;Chapman & Hall/CRC,2000

3. Helgesson, P., 2018. Approaching well-founded comprehensive nuclear data uncertainties: fitting imperfect models to imperfect data. PhD thesis, Uppsala University, Applied Nuclear Physics.

4. Fitting and analysis technique for inconsistent nuclear data;Schnabel;Proc. M&C,2017

5. Siefman, D., 2019. Development and Application of Data Assimilation Methods in Reactor Physics. PhD thesis, École Polytechnique Fédérale de Lausanne.

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