SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Control of modeling error in calibration and validation processes for predictive stochastic models
2 references·1 citing·13 second hop
Control of modeling error in calibration and validation processes for predictive stochastic models (2010)Control of modeling error in calibration …The Parallel C++ Statistical Library ‘QUESO’: Quantification of Uncertainty for Estimation, Simulation and Optimization (2012)The Parallel C++ Statistical …A systematic approach to model validation based on Bayesian updates and prediction related rejection criteria (2008)A systematic approach to mode…Probabilistic Prediction of Homogenized Property and Update of Prediction for Spherical Porous Material Considering Microstructural Uncertainties (2015)Probabilistic Prediction of H…Estimation of small failure probabilities in high dimensions by subset simulation (2001)Stochastic Calculus: Applications in Science and Engineering (2002)Adaptive multiscale predictive modelling (2018)Bayesian inference of random fields represented with the Karhunen–Loève expansion (2019)Unified Framework and Survey for Model Verification, Validation and Uncertainty Quantification (2020)A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data (2007)A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data (2010)DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user's manual. (2010)Bayesian experimental design for the active nitridation of graphite by atomic nitrogen (2011)Predictive Computational Science: Computer Predictions in the Presence of Uncertainty (2017)A comprehensive overview of a non-parametric probabilistic approach of model uncertainties for predictive models in structural dynamics (2005)An interval approach to robust design with parameter uncertainty (2015)Multidimensional parallelepiped model—a new type of non‐probabilistic convex model for structural uncertainty analysis (2015)
this work references cited by second hop

References

  • 2008A systematic approach to model validation based on Bayesian updates and prediction related rejection criteria76 cited
  • 2012The Parallel C++ Statistical Library ‘QUESO’: Quantification of Uncertainty for Estimation, Simulation and Optimization69 cited

Cited by

  • 2015Probabilistic Prediction of Homogenized Property and Update of Prediction for Spherical Porous Material Considering Microstructural Uncertainties7 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work