SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
A Polymorphic Polynomial Chaos Formulation for Mixed Epistemic-Aleatory Uncertainty Quantification of RF/Microwave Circuits
16 references·0 citing·36 second hop
A Polymorphic Polynomial Chaos Formulation for Mixed Epistemic-Aleatory Uncertainty Quantification of RF/Microwave Circuits (2021)A Polymorphic Polynomial Chaos Formulatio…Machine Learning and Uncertainty Quantification for Surrogate Models of Integrated Devices With a Large Number of Parameters (2018)Machine Learning and Uncertai…Stochastic transmission line analysis via polynomial chaos methods: an overview (2017)Stochastic transmission line …Least squares polynomial chaos expansion: A review of sampling strategies (2017)Least squares polynomial chao…Generalized Decoupled Polynomial Chaos for Nonlinear Circuits With Many Random Parameters (2015)Generalized Decoupled Polynom…Enabling High-Dimensional Hierarchical Uncertainty Quantification by ANOVA and Tensor-Train Decomposition (2014)Enabling High-Dimensional Hie…Compressive sampling of polynomial chaos expansions: Convergence analysis and sampling strategies (2014)Compressive sampling of polyn…A new uncertain analysis method and its application in vehicle dynamics (2014)A new uncertain analysis meth…A new interval uncertain optimization method for structures using Chebyshev surrogate models (2014)A new interval uncertain opti…Stochastic Testing Method for Transistor-Level Uncertainty Quantification Based on Generalized Polynomial Chaos (2013)Stochastic Testing Method for…Variability Analysis of Multiport Systems Via Polynomial-Chaos Expansion (2012)Variability Analysis of Multi…Adaptive sparse polynomial chaos expansion based on least angle regression (2010)Adaptive sparse polynomial ch…Aleatory or epistemic? Does it matter? (2008)Aleatory or epistemic? Does i…The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)The Wiener--Askey Polynomial …Error and uncertainty in modeling and simulation (2002)Error and uncertainty in mode…Different methods are needed to propagate ignorance and variability (1996)Different methods are needed …Propagation of Uncertainty in Risk Assessments: The Need to Distinguish Between Uncertainty Due to Lack of Knowledge and Uncertainty Due to Variability (1994)Propagation of Uncertainty in…Stochastic Finite Elements: A Spectral Approach (1991)Coherence motivated sampling and convergence analysis of least squares polynomial Chaos regression (2015)Surrogate-assisted global sensitivity analysis: an overview (2020)Fuzzy sets (1965)Fuzzy sets (1996)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Hybrid uncertain static analysis with random and interval fields (2016)Response analysis of an accelerating unbalanced rotating system with both random and interval variables (2019)A state-of-the-art review on uncertainty analysis of rotor systems (2022)On The Quantitative Definition of Risk (1981)Decision Making in Health and Medicine: Integrating Evidence and Values (2001)A Guide to Simulation (1983)An introduction to error analysis: the study of uncertainties in physical measurements (1997)Constructing Probability Boxes and Dempster-Shafer Structures (2003)Verification, validation, and predictive capability in computational engineering and physics (2004)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Efficient computation of global sensitivity indices using sparse polynomial chaos expansions (2010)UQLab: A Framework for Uncertainty Quantification in Matlab (2014)POLYNOMIAL-CHAOS-BASED KRIGING (2015)High-Order Collocation Methods for Differential Equations with Random Inputs (2005)Review of Polynomial Chaos-Based Methods for Uncertainty Quantification in Modern Integrated Circuits (2018)The Logic of Scientific Discovery. (1960)Structural Reliability Methods (1996)Logic of Scientific Discovery, The (2010)Reliability-based design optimization using kriging surrogates and subset simulation (2011)Imprecise probabilities in engineering analyses (2013)Variable importance analysis: A comprehensive review (2015)Simulation Modeling and Analysis. (1983)Empirical Model Building and Response Surfaces (1988)Calibration, validation, and sensitivity analysis: What's what (2006)Monte-Carlo based uncertainty analysis: Sampling efficiency and sampling convergence (2012)Design and Analysis of Computer Experiments (1989)Sparse polynomial chaos expansions via compressed sensing and D-optimal design (2018)An adaptive polynomial chaos expansion for high-dimensional reliability analysis (2020)A Review of Recent Advances in Surrogate Models for Uncertainty Quantification of High-Dimensional Engineering Applications (2024)Global sensitivity analysis using polynomial chaos expansions (2007)
this work references cited by second hop

References

  • 2002The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations4,821 cited
  • 2008Aleatory or epistemic? Does it matter?2,450 cited
  • 2010Adaptive sparse polynomial chaos expansion based on least angle regression1,507 cited
  • 1994Propagation of Uncertainty in Risk Assessments: The Need to Distinguish Between Uncertainty Due to Lack of Knowledge and Uncertainty Due to Variability701 cited
  • 2002Error and uncertainty in modeling and simulation629 cited
  • 1996Different methods are needed to propagate ignorance and variability621 cited
  • 2014Compressive sampling of polynomial chaos expansions: Convergence analysis and sampling strategies212 cited
  • 2013Stochastic Testing Method for Transistor-Level Uncertainty Quantification Based on Generalized Polynomial Chaos182 cited
  • 2014A new uncertain analysis method and its application in vehicle dynamics166 cited
  • 2017Least squares polynomial chaos expansion: A review of sampling strategies157 cited
  • 2014A new interval uncertain optimization method for structures using Chebyshev surrogate models117 cited
  • 2018Machine Learning and Uncertainty Quantification for Surrogate Models of Integrated Devices With a Large Number of Parameters110 cited
  • 2015Generalized Decoupled Polynomial Chaos for Nonlinear Circuits With Many Random Parameters102 cited
  • 2014

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

Enabling High-Dimensional Hierarchical Uncertainty Quantification by ANOVA and Tensor-Train Decomposition
98 cited
  • 2012Variability Analysis of Multiport Systems Via Polynomial-Chaos Expansion94 cited
  • 2017Stochastic transmission line analysis via polynomial chaos methods: an overview82 cited
  • Cited by

    No citing works inside the corpus for this window.