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Decision-theoretic reliability sensitivity
16 references·5 citing·33 second hop
Decision-theoretic reliability sensitivityDecision-theoretic reliability sensitivityWhy so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices (2019)Why so many published sensiti…Structural Reliability Analysis and Prediction (2017)Structural Reliability Analys…Handbook of Uncertainty Quantification (2016)Handbook of Uncertainty Quant…Sensitivity analysis: A review of recent advances (2015)Sensitivity analysis: A revie…Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Variance based sensitivity an…Global Sensitivity Analysis. The Primer (2007)Global Sensitivity Analysis. …A new uncertainty importance measure (2006)A new uncertainty importance …Engineering Design Reliability Handbook (2004)Engineering Design Reliabilit…Reliability analysis—a review and some perspectives (2001)Reliability analysis—a review…Estimation of small failure probabilities in high dimensions by subset simulation (2001)Estimation of small failure p…Analysis of variance designs for model output (1999)Analysis of variance designs …Structural Reliability Methods (1996)Structural Reliability MethodsThe stochastic finite element method in structural reliability (1988)The stochastic finite element…Non-Normal Dependent Vectors in Structural Safety (1981)Non-Normal Dependent Vectors …Information Value Theory (1966)Information Value TheoryApplied Statistical Decision Theory. (1962)Applied Statistical Decision …FORM-based global reliability sensitivity analysis of systems with multiple failure modes (2025)FORM-based global reliability…Interpretation of probability in structural safety – A philosophical conundrum (2024)Interpretation of probability…Variance-based reliability sensitivity with dependent inputs using failure samples (2023)Variance-based reliability se…Reliability-oriented global sensitivity analysis using subset simulation and space partition (2023)Reliability-oriented global s…Kernel-based global sensitivity analysis obtained from a single data set (2023)Kernel-based global sensitivi…Factorial Sampling Plans for Preliminary Computational Experiments (1991)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)A simple and efficient method for global sensitivity analysis based on cumulative distribution functions (2015)Variable importance analysis: A comprehensive review (2015)The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020)Simulation and the Monte Carlo Method (1981)The stochastic finite element method: Past, present and future (2008)A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models (2012)The generalization of Latin hypercube sampling (2015)Simulation and the Monte Carlo Method (2016)Design and Analysis of Computer Experiments (1989)How to avoid a perfunctory sensitivity analysis (2010)Probability Concepts in Engineering Planning and Design (1975)Structural reliability under combined random load sequences (1978)Global sensitivity analysis using polynomial chaos expansions (2007)Aleatory or epistemic? Does it matter? (2008)AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)Why Most Published Research Findings Are False (2005)Sensitivity analysis methods in the biomedical sciences (2020)Toward SALib 2.0: Advancing the accessibility and interpretability of global sensitivity analyses (2022)Risk, Ambiguity, and the Savage Axioms (1961)The Price of Robustness (2004)Risk assessment and risk management: Review of recent advances on their foundation (2015)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)SALib: An open-source Python library for Sensitivity Analysis (2017)Uncertainties in risk analysis: Six levels of treatment (1996)Sequential Optimization and Reliability Assessment Method for Efficient Probabilistic Design (2004)The Foundations of Decision Analysis (1968)Computational Aspects of Cooperative Game Theory (2012)Bandit Processes and Dynamic Allocation Indices (1979)On the aggregation of information in competitive markets (1980)The real term structure and consumption growth (1988)
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References

  • 2007Global Sensitivity Analysis. The Primer6,425 cited
  • 2017Structural Reliability Analysis and Prediction3,780 cited
  • 2009Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index3,567 cited
  • 2001Estimation of small failure probabilities in high dimensions by subset simulation2,419 cited
  • 1996Structural Reliability Methods2,192 cited
  • 1962Applied Statistical Decision Theory.1,443 cited
  • 2015Sensitivity analysis: A review of recent advances1,172 cited
  • 2006A new uncertainty importance measure1,030 cited
  • 1966Information Value Theory1,005 cited
  • 2019Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices827 cited
  • 2001Reliability analysis—a review and some perspectives775 cited
  • 1999Analysis of variance designs for model output648 cited
  • 2016Handbook of Uncertainty Quantification588 cited
  • 1981Non-Normal Dependent Vectors in Structural Safety577 cited
  • 1988The stochastic finite element method in structural reliability519 cited
  • 2004Engineering Design Reliability Handbook

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468 cited

Cited by

  • 2025FORM-based global reliability sensitivity analysis of systems with multiple failure modes24 cited
  • 2023Reliability-oriented global sensitivity analysis using subset simulation and space partition21 cited
  • 2024Interpretation of probability in structural safety – A philosophical conundrum16 cited
  • 2023Variance-based reliability sensitivity with dependent inputs using failure samples11 cited
  • 2023Kernel-based global sensitivity analysis obtained from a single data set9 cited