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Bayesian methods in engineering design problems.
8 references·0 citing·41 second hop
Bayesian methods in engineering design problems. (2006)Bayesian methods in engineering design pr…Calibration, validation, and sensitivity analysis: What's what (2006)Calibration, validation, and …Combining Field Data and Computer Simulations for Calibration and Prediction (2004)Combining Field Data and Comp…A Bayesian Approach for Multiple Response Surface Optimization in the Presence of Noise Variables (2004)A Bayesian Approach for Multi…The use of metamodeling techniques for optimization under uncertainty (2003)The use of metamodeling techn…Robust Parameter Design: A Response Surface Approach (1996)Robust Parameter Design: A Re…Statistics for Spatial Data (1994)Statistics for Spatial DataCombining Taguchi and Response Surface Philosophies: A Dual Response Approach (1990)Combining Taguchi and Respons…Bayesian Methods in Risk Assessment (1981)Bayesian Methods in Risk Asse…Judgment under Uncertainty: Heuristics and Biases (1974)Judgment under Uncertainty: Heuristics and Biases (1975)the delphi method: techniques and applications (1975)Data analysis in risk assessments (1982)Models for the use of Expert Opinions (1984)An assessment of causes and failure likelihood of cross-country pipelines under uncertainty using bayesian networks (2021)Some New Three Level Designs for the Study of Quantitative Variables (1960)Off-Line Quality Control, Parameter Design, and the Taguchi Method (1985)Empirical Model-Building and Response Surfaces. (1988)AN OVERVIEW OF TAGUCHI METHOD AND NEWLY DEVELOPED STATISTICAL METHODS FOR ROBUST DESIGN (1992)Response Surface Alternatives to the Taguchi Robust Parameter Design Approach (1992)Dual Response Surface Optimization (1995)Taguchi's Parameter Design: A Panel Discussion (1992)Robust design of server capability in M/M/1 queues with both partly random arrival and service rates (2002)Quality Loss Functions for the Measurement of Service Quality (2003)Two Approaches for Improving the Dual Response Method in Robust Parameter Design (2004)Empirical Model Building and Response Surfaces (1988)STATISTICS FOR SPATIAL DATA (1992)Statistics for Spatial Data. (1993)A better understanding of model updating strategies in validating engineering models (2008)Toward a Better Understanding of Model Validation Metrics (2011)Inverse uncertainty quantification using the modular Bayesian approach based on Gaussian process, Part 1: Theory (2018)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Uncertainty Analysis by Dimension Reduction Integration and Saddlepoint Approximations (2005)Understanding the Effects of Model Uncertainty in Robust Design With Computer Experiments (2005)A Critical Review of Surrogate Assisted Robust Design Optimization (2017)Theory of games and economic behavior (2019)Design and Analysis of Computer Experiments (1989)Minimax and maximin distance designs (1990)A Framework for Validation of Computer Models (2007)Choosing the Sample Size of a Computer Experiment: A Practical Guide (2009)Quantification of Model Uncertainty: Calibration, Model Discrepancy, and Identifiability (2012)Simultaneous Optimization of Several Response Variables (1980)A Bayesian Reliability Approach to Multiple Response Optimization with Seemingly Unrelated Regression Models (2009)A new Bayesian approach to multi-response surface optimization integrating loss function with posterior probability (2015)Simulation and the Monte Carlo Method (2016)Artificial Intelligence-Enhanced Predictive Insights for Advancing Financial Inclusion: A Human-Centric AI-Thinking Approach (2020)Estimation of Disease Rates in Small Areas: A new Mixed Model for Spatial Dependence (2000)Space and Space-Time Modeling using Process Convolutions (2002)Proper multivariate conditional autoregressive models for spatial data analysis (2003)
this work references cited by second hop

References

  • 1994Statistics for Spatial Data853 cited
  • 1990Combining Taguchi and Response Surface Philosophies: A Dual Response Approach653 cited
  • 2004Combining Field Data and Computer Simulations for Calibration and Prediction622 cited
  • 2006Calibration, validation, and sensitivity analysis: What's what366 cited
  • 2003The use of metamodeling techniques for optimization under uncertainty326 cited
  • 2004A Bayesian Approach for Multiple Response Surface Optimization in the Presence of Noise Variables83 cited
  • 1981Bayesian Methods in Risk Assessment69 cited
  • 1996Robust Parameter Design: A Response Surface Approach48 cited

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