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Bayesian design of experiments for generalized linear models and dimensional analysis with industrial and scientific application
16 references·1 citing·40 second hop
Bayesian design of experiments for generalized linear models and dimensional analysis with industrial and scientific application (2016)Bayesian design of experiments for genera…Handbook 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…Optimum Experimental Designs, with SAS (2007)Optimum Experimental Designs,…Designs for Generalized Linear Models With Several Variables and Model Uncertainty (2006)Designs for Generalized Linea…Simulation Based Optimal Design (2005)Simulation Based Optimal Desi…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…Maximum Entropy Sampling and Optimal Bayesian Experimental Design (2000)Maximum Entropy Sampling and …Statistics as a Catalyst to Learning by Scientific Method Part I—An Example (1999)Statistics as a Catalyst to L…Design and Analysis of Experiments (1999)Design and Analysis of Experi…Optimal Design via Curve Fitting of Monte Carlo Experiments (1995)Optimal Design via Curve Fitt…Journal of the American Statistical Association (1995)Journal of the American Stati…Bayesian Experimental Design: A Review (1995)Bayesian Experimental Design:…Design and Analysis of Computer Experiments (1989)Design and Analysis of Comput…Maximum entropy sampling (1987)Maximum entropy samplingGPdoemd: A Python package for design of experiments for model discrimination (2019)GPdoemd: A Python package for…Applied Statistical Decision Theory (1962)Theory of optimal experiments (1972)Response surface methodology (2010)Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Design of Experiments (1936)On a Measure of the Information Provided by an Experiment (1956)Minimax and maximin distance designs (1990)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach (2011)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 Survey of Statistical Design and Linear Models (1975)Optimal Bayesian Experimental Design for Linear Models (1984)Designs for Computer Experiments (1989)Optimal Latin-hypercube designs for computer experiments (1994)A Stochastic Approximation Method (1951)Theory of Optimal Experiments. (1972)Bayesian Design of Experiments Using Approximate Coordinate Exchange (2016)Forecasting carbon price trends based on an interpretable light gradient boosting machine and Bayesian optimization (2023)Modern Bayesian Experimental Design (2024)INCOMPLETE RANDOMIZED BLOCKS (1936)A New Class of Resolvable Incomplete Block Designs (1976)Theory of Optimal Designs (1989)Sparse polynomial chaos expansions via compressed sensing and D-optimal design (2018)sensobol : An R Package to Compute Variance-Based Sensitivity Indices (2022)Space-Filling Designs for Computer Experiments (2003)Kriging Metamodeling in Simulation: A Review (2007)Space-Filling Designs for Computer Experiments (2018)Estimating the Return to Schooling: Progress on Some Persistent Econometric Problems (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)Fundamental Concepts in the Design of Experiments (2000)Verification, validation, and predictive capability in computational engineering and physics (2004)Application of Factorial and Response Surface Methodology in Modern Experimental Design and Optimization (2006)
this work references cited by second hop

References

  • 1989Design and Analysis of Computer Experiments6,958 cited
  • 1995Journal of the American Statistical Association5,359 cited
  • 2003The Design and Analysis of Computer Experiments2,219 cited
  • 1995Bayesian Experimental Design: A Review1,846 cited
  • 2007Optimum Experimental Designs, with SAS1,268 cited
  • 1987Maximum entropy sampling603 cited
  • 1999Design and Analysis of Experiments506 cited
  • 2012Simulation-based optimal Bayesian experimental design for nonlinear systems466 cited
  • 2015A Review of Modern Computational Algorithms for Bayesian Optimal Design339 cited
  • 2015Handbook of Design and Analysis of Experiments322 cited
  • 2000Maximum Entropy Sampling and Optimal Bayesian Experimental Design243 cited
  • 2005Simulation Based Optimal Design183 cited
  • 2003Estimating Expected Information Gains for Experimental Designs With Application to the Random Fatigue-Limit Model169 cited
  • 2006Designs for Generalized Linear Models With Several Variables and Model Uncertainty156 cited
  • 1995Optimal Design via Curve Fitting of Monte Carlo Experiments140 cited
  • 1999

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Statistics as a Catalyst to Learning by Scientific Method Part I—An Example
111 cited

Cited by

  • 2019GPdoemd: A Python package for design of experiments for model discrimination25 cited