Open Access
EPJ Web of Conferences
Volume 111, 2016
WONDER-2015 – 4th International Workshop On Nuclear Data Evaluation for Reactor applications
Article Number 09001
Number of page(s) 6
Section Uncertainties and Covariance Matrices
Published online 15 March 2016
  1. T. Bayes, An Essay towards Solving a Problem in the Doctrine of Chances, Philosophical Transactions 53, 370 (1763) [Google Scholar]
  2. G. Schnabel, Large Scale Bayesian Nuclear Data Evaluation with Consistent Model Defects, PhD thesis, TU Wien (2015) [Google Scholar]
  3. M.T. Pigni, H. Leeb, Uncertainty estimates of evaluated 56Fe cross sections based on extensive modelling at energies beyond 20 MeV in: Proc. Int. Workshop on Nuclear Data for the Transmutation of Nuclear Waste (GSI Darmstadt, Darmstadt, 2003) PO21 [Google Scholar]
  4. H. Leeb, D. Neudecker, Th. Srdinko, Nucl. Data Sheets 109, 2762 (2009) [Google Scholar]
  5. A. Trkov et al., Nucl. Instr. Meth. A 212, 3098 (2011) [Google Scholar]
  6. D. Neudecker, R. Capote, H. Leeb, Nucl. Instr. Meth. A 723, 163 (2013) [Google Scholar]
  7. D.G. Krige, J. Chemical, Metallurgical and Mining Society 52, 119 (1951) [Google Scholar]
  8. C.E. Rasmussen, Ch.K.I.Williams, Gaussian Processes for Machine Learning (MIT Prees, Cambridge, 2006), ISBN: 0-262-18253-X 978-0-262-18253-9 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.