SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
An approach for finding fully Bayesian optimal designs using normal-based approximations to loss functions
16 references·0 citing·34 second hop
An approach for finding fully Bayesian optimal designs using normal-based approximations to loss functions (2017)An approach for finding fully Bayesian op…Bayesian Design of Experiments Using Approximate Coordinate Exchange (2016)Bayesian Design of Experiment…A Review of Modern Computational Algorithms for Bayesian Optimal Design (2015)A Review of Modern Computatio…Fast estimation of expected information gains for Bayesian experimental designs based on Laplace approximations (2013)Fast estimation of expected i…Fast Computation of Designs Robust to Parameter Uncertainty for Nonlinear Settings (2009)Fast Computation of Designs R…Designs for Generalized Linear Models With Several Variables and Model Uncertainty (2006)Designs for Generalized Linea…Bayesian-Optimal Design via Interacting Particle Systems (2006)Bayesian-Optimal Design via I…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…Finding Near-Optimal Bayesian Experimental Designs via Genetic Algorithms (2001)Finding Near-Optimal Bayesian…The Coordinate-Exchange Algorithm for Constructing Exact Optimal Experimental Designs (1995)The Coordinate-Exchange Algor…Optimal Design via Curve Fitting of Monte Carlo Experiments (1995)Optimal Design via Curve Fitt…Bayesian Experimental Design: A Review (1995)Bayesian Experimental Design:…Design and Analysis of Computer Experiments (1989)Design and Analysis of Comput…Discrimination Among Mechanistic Models (1967)Discrimination Among Mechanis…On a Measure of the Information Provided by an Experiment (1956)On a Measure of the Informati…Applied Statistical Decision Theory (1962)Applied Statistical Decision Theory. (1962)Optimal experimental design for model discrimination. (2009)A tutorial on adaptive design optimization (2013)GRADIENT-BASED STOCHASTIC OPTIMIZATION METHODS IN BAYESIAN EXPERIMENTAL DESIGN (2014)A Simple Bayesian Modification of D -Optimal Designs to Reduce Dependence on an Assumed Model (1994)Modern Bayesian Experimental Design (2024)Theory of optimal experiments (1972)Minimax and maximin distance designs (1990)Robust Experimental Design for Multivariate Generalized Linear Models (2006)Sequential Experimental Designs for Generalized Linear Models (2008)On the Experimental Attainment of Optimum Conditions (1951)Design and Analysis of Industrial Experiments. (1955)Experimental Design: Review and Comment (1984)On the Experimental Attainment of Optimum Conditions (1992)9 Computer experiments (1996)Theory of Optimal Experiments. (1972)An Algorithm for the Construction of "D-Optimal" Experimental Designs (2000)A Comparison of Criteria to Design Efficient Choice Experiments (2006)Split-Plot Designs: What, Why, and How (2009)A Stochastic Approximation Method (1951)Forecasting carbon price trends based on an interpretable light gradient boosting machine and Bayesian optimization (2023)Kriging metamodeling in simulation: A review (2007)Response surface methodology (2010)Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)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)Maximum entropy sampling (1987)The Stag Hunt and the Evolution of Social Structure (2003)Signals (2010)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)
this work references cited by second hop

References

  • 1989Design and Analysis of Computer Experiments6,958 cited
  • 2003The Design and Analysis of Computer Experiments2,204 cited
  • 1995Bayesian Experimental Design: A Review1,846 cited
  • 1956On a Measure of the Information Provided by an Experiment1,507 cited
  • 1967Discrimination Among Mechanistic Models425 cited
  • 1995The Coordinate-Exchange Algorithm for Constructing Exact Optimal Experimental Designs405 cited
  • 2015A Review of Modern Computational Algorithms for Bayesian Optimal Design312 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
  • 2013Fast estimation of expected information gains for Bayesian experimental designs based on Laplace approximations129 cited
  • 2009Fast Computation of Designs Robust to Parameter Uncertainty for Nonlinear Settings108 cited
  • 2016Bayesian Design of Experiments Using Approximate Coordinate Exchange101 cited
  • 2001Finding Near-Optimal Bayesian Experimental Designs via Genetic Algorithms

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

101 cited
  • 2006Bayesian-Optimal Design via Interacting Particle Systems101 cited
  • Cited by

    No citing works inside the corpus for this window.