SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Inverse Problems in a Bayesian Setting
9 references·4 citing·36 second hop
Inverse Problems in a Bayesian Setting (2016)Inverse Problems in a Bayesian SettingParameter identification in a probabilistic setting (2013)Parameter identification in a…Sampling-free linear Bayesian update of polynomial chaos representations (2012)Sampling-free linear Bayesian…Stochastic spectral methods for efficient Bayesian solution of inverse problems (2006)Stochastic spectral methods f…Uncertainty Quantification with Stochastic Finite Elements (2004)Uncertainty Quantification wi…Galerkin methods for linear and nonlinear elliptic stochastic partial differential equations (2004)Galerkin methods for linear a…The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)The Wiener--Askey Polynomial …Stochastic Partial Differential Equations: A Modeling, White Noise Functional Approach. (1997)Stochastic Partial Differenti…Stochastic Analysis (1997)Stochastic AnalysisStochastic Finite Elements: A Spectral Approach (1991)Stochastic Finite Elements: A…Stochastic modelling of symmetric positive definite material tensors (2024)Stochastic modelling of symme…Probabilistic learning inference of boundary value problem with uncertainties based on Kullback–Leibler divergence under implicit constraints (2022)Probabilistic learning infere…gPCE-Based Stochastic Inverse Methods: A Benchmark Study from a Civil Engineer’s Perspective (2021)gPCE-Based Stochastic Inverse…An uncertainty quantification framework for multiscale parametrically homogenized constitutive models (PHCMs) of polycrystalline Ti alloys (2021)An uncertainty quantification…Transient Response of Structural Dynamic Systems with Parametric Uncertainty (2013)Polynomial Chaos Expansion of Random Coefficients and the Solution of Stochastic Partial Differential Equations in the Tensor Train Format (2015)Stochastic multi-scale finite element based reliability analysis for laminated composite structures (2017)Structural Reliability Analysis and Prediction (2017)A PROGRESSION FOR GENERATING VARIABLE‐INTERVAL SCHEDULES 1 (1962)Inverse problems and uncertainty quantification (2013)Quantification of Airfoil Geometry-Induced Aerodynamic Uncertainties---Comparison of Approaches (2017)Identifying elastoplastic parameters with Bayes’ theorem considering output error, input error and model uncertainty (2018)An adaptive multi-element generalized polynomial chaos method for stochastic differential equations (2005)A Stochastic Collocation Approach to Bayesian Inference in Inverse Problems (2009)Simulation-based optimal Bayesian experimental design for nonlinear systems (2012)Active Subspace Methods in Theory and Practice: Applications to Kriging Surfaces (2014)Response Surfaces: Designs and Analyses (1997)Multi-Element Generalized Polynomial Chaos for Arbitrary Probability Measures (2006)An Anisotropic Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data (2008)Data-driven uncertainty quantification using the arbitrary polynomial chaos expansion (2012)Galerkin Finite Element Approximations of Stochastic Elliptic Partial Differential Equations (2004)Identification of composite uncertain material parameters from experimental modal data (2014)Novel model calibration method via non-probabilistic interval characterization and Bayesian theory (2018)Multi-scale identification of the elastic properties variability for composite materials through a hybrid optimisation strategy (2019)Efficient sampling technique for optimization under uncertainty (1997)Polynomial Chaos Expansion with Latin Hypercube Sampling for Estimating Response Variability (2004)An adaptive high-dimensional stochastic model representation technique for the solution of stochastic partial differential equations (2010)Uncertainty Quantified Parametrically Homogenized Constitutive Models for Microstructure-Integrated Structural Simulations (2020)Uncertainty Quantification Framework for Predicting Material Response with Large Number of Parameters: Application to Creep Prediction in Ferritic-Martensitic Steels Using Combined Crystal Plasticity and Grain Boundary Models (2022)Evidence-based uncertainty quantification for bending properties of bimetal composites (2023)Global sensitivity analysis using polynomial chaos expansions (2007)AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)White noise generalizations of the Clark-Haussmann-Ocone theorem with application to mathematical finance (2000)An Itô formula for generalized functionals of a fractional Brownian motion with arbitrary Hurst parameter (2003)White noise analysis for Lévy processes (2003)High-Order Collocation Methods for Differential Equations with Random Inputs (2005)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)Applications of Malliavin calculus to Monte Carlo methods in finance (1999)Stochastic Calculus with Respect to Gaussian Processes (2001)Stein’s method on Wiener chaos (2008)
this work references cited by second hop

References

  • 1991Stochastic Finite Elements: A Spectral Approach5,753 cited
  • 2002The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations4,821 cited
  • 1997Stochastic Analysis1,035 cited
  • 2004Galerkin methods for linear and nonlinear elliptic stochastic partial differential equations556 cited
  • 2006Stochastic spectral methods for efficient Bayesian solution of inverse problems471 cited
  • 1997Stochastic Partial Differential Equations: A Modeling, White Noise Functional Approach.353 cited
  • 2013Parameter identification in a probabilistic setting101 cited
  • 2012Sampling-free linear Bayesian update of polynomial chaos representations75 cited
  • 2004Uncertainty Quantification with Stochastic Finite Elements70 cited

Cited by

  • 2021An uncertainty quantification framework for multiscale parametrically homogenized constitutive models (PHCMs) of polycrystalline Ti alloys31 cited
  • 2021gPCE-Based Stochastic Inverse Methods: A Benchmark Study from a Civil Engineer’s Perspective20 cited
  • 2024Stochastic modelling of symmetric positive definite material tensors12 cited
  • 2022Probabilistic learning inference of boundary value problem with uncertainties based on Kullback–Leibler divergence under implicit constraints10 cited

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