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Bayesian Design of Experiments Using Approximate Coordinate Exchange
16 references·5 citing·36 second hop
Bayesian Design of Experiments Using Approximate Coordinate Exchange (2016)Bayesian Design of Experiments Using Appr…Experiments (2021)ExperimentsHandbook of Design and Analysis of Experiments (2015)Handbook of Design and Analys…A Review of Modern Computational Algorithms for Bayesian Optimal Design (2015)A Review of Modern Computatio…Simulation-based optimal Bayesian experimental design for nonlinear systems (2012)Simulation-based optimal Baye…Quantile-Based Optimization of Noisy Computer Experiments With Tunable Precision (2012)Quantile-Based Optimization o…Choosing the Sample Size of a Computer Experiment: A Practical Guide (2009)Choosing the Sample Size of a…Optimum Experimental Designs, with SAS (2007)Optimum Experimental Designs,…The Design and Analysis of Computer Experiments (2003)The Design and Analysis of Co…Estimating Expected Information Gains for Experimental Designs With Application to the Random Fatigue-Limit Model (2003)Estimating Expected Informati…The Coordinate-Exchange Algorithm for Constructing Exact Optimal Experimental Designs (1995)The Coordinate-Exchange Algor…Journal of the American Statistical Association (1995)Journal of the American Stati…Exploratory designs for computational experiments (1995)Exploratory designs for compu…Bayesian Experimental Design: A Review (1995)Bayesian Experimental Design:…Optimal Bayesian design applied to logistic regression experiments (1989)Optimal Bayesian design appli…Design and Analysis of Computer Experiments (1989)Design and Analysis of Comput…Stochastic Simulation (1987)Stochastic SimulationBayesian sequential optimal experimental design for nonlinear models using policy gradient reinforcement learning (2023)Bayesian sequential optimal e…Orthogonal subsampling for big data linear regression (2021)Orthogonal subsampling for bi…Statistical Design of Experiments for Screening and Optimization (2019)Statistical Design of Experim…The Impact of Global Sensitivities and Design Measures in Model-Based Optimal Experimental Design (2018)The Impact of Global Sensitiv…Review and comparison of two meta-model-based uncertainty propagation analysis methods in groundwater applications: polynomial chaos expansion and Gaussian process emulation (2018)Review and comparison of two …Applied Statistical Decision Theory (1962)Theory of optimal experiments (1972)Kriging metamodeling in simulation: A review (2007)Response surface methodology (2010)Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)Stochastic Finite Elements: A Spectral Approach (1991)Multivariate stochastic approximation using a simultaneous perturbation gradient approximation (1992)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)Adaptive Smolyak Pseudospectral Approximations (2013)Engineering Design with Digital Thread (2018)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)An efficient algorithm for constructing optimal design of computer experiments (2004)Locally Optimal Designs for Estimating Parameters (1953)On a Measure of the Information Provided by an Experiment (1956)Expected Information as Expected Utility (1979)Recent Advances in Nonlinear Experimental Design (1989)Response Surface Methodology—Current Status and Future Directions (1999)Optimal experimental design and some related control problems (2007)Moving to Opportunity in Boston: Early Results of a Randomized Mobility Experiment (2001)Multilevel analyses of neighbourhood socioeconomic context and health outcomes: a critical review: Table 1 (2001)The Relationship Between Education and Adult Mortality in the United States (2004)Response surface design evaluation and comparison (2008)Least squares polynomial chaos expansion: A review of sampling strategies (2017)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)DiceKriging , DiceOptim : Two R Packages for the Analysis of Computer Experiments by Kriging-Based Metamodeling and Optimization (2012)Regression and Kriging metamodels with their experimental designs in simulation: A review (2016)Design and Analysis of Simulation Experiments (2018)Impulse response analysis in nonlinear multivariate models (1996)Model-Based Geostatistics (1998)Stochastic Volatility: Likelihood Inference and Comparison with ARCH Models (1998)An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach (2011)A Review on Global Sensitivity Analysis Methods (2015)Sensitivity analysis: A review of recent advances (2015)
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References

  • 1989Design and Analysis of Computer Experiments6,958 cited
  • 1995Journal of the American Statistical Association5,337 cited
  • 1987Stochastic Simulation2,240 cited
  • 2003The Design and Analysis of Computer Experiments2,204 cited
  • 1995Bayesian Experimental Design: A Review1,846 cited
  • 2007Optimum Experimental Designs, with SAS1,268 cited
  • 1995Exploratory designs for computational experiments1,202 cited
  • 2009Choosing the Sample Size of a Computer Experiment: A Practical Guide766 cited
  • 2012Simulation-based optimal Bayesian experimental design for nonlinear systems451 cited
  • 1989Optimal Bayesian design applied to logistic regression experiments449 cited
  • 2021Experiments409 cited
  • 1995The Coordinate-Exchange Algorithm for Constructing Exact Optimal Experimental Designs405 cited
  • 2015A Review of Modern Computational Algorithms for Bayesian Optimal Design312 cited
  • 2015Handbook of Design and Analysis of Experiments309 cited
  • 2012Quantile-Based Optimization of Noisy Computer Experiments With Tunable Precision184 cited
  • 2003Estimating Expected Information Gains for Experimental Designs With Application to the Random Fatigue-Limit Model

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169 cited

Cited by

  • 2019Statistical Design of Experiments for Screening and Optimization77 cited
  • 2021Orthogonal subsampling for big data linear regression44 cited
  • 2023Bayesian sequential optimal experimental design for nonlinear models using policy gradient reinforcement learning42 cited
  • 2018The Impact of Global Sensitivities and Design Measures in Model-Based Optimal Experimental Design42 cited
  • 2018Review and comparison of two meta-model-based uncertainty propagation analysis methods in groundwater applications: polynomial chaos expansion and Gaussian process emulation40 cited