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Uncertainty calibration for probabilistic projection methods

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Publication:2058797
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DOI10.1007/s11222-021-10031-9zbMath1475.62029OpenAlexW3193149571MaRDI QIDQ2058797

Vladimir Fanaskov

Publication date: 9 December 2021

Published in: Statistics and Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11222-021-10031-9

zbMATH Keywords

projection methodsuncertainty quantificationprobabilistic numerical methods


Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08)


Related Items

Statistical properties of BayesCG under the Krylov prior



Cites Work

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  • Iterative solution of large sparse systems of equations
  • Probabilistic linear solvers: a unifying view
  • A Bayesian conjugate gradient method (with discussion)
  • Probabilistic Interpretation of Linear Solvers
  • Julia: A Fresh Approach to Numerical Computing
  • Handbook of Statistical Distributions with Applications
  • Multilevel Filtering Preconditioners: Extensions to More General Elliptic Problems
  • Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization
  • Predicting the output from a complex computer code when fast approximations are available
  • Bandit Algorithms
  • Methods of conjugate gradients for solving linear systems
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