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Steepest descent algorithms in a space of measures
9 references·3 citing·28 second hop
Steepest descent algorithms in a space of measures (2002)Steepest descent algorithms in a space of…Model-Oriented Design of Experiments (1999)Model-Oriented Design of Expe…Model-Oriented Design of Experiments (1997)Model-Oriented Design of Expe…Optimal Design of Experiments (1994)Optimal Design of ExperimentsOptimum Experimental Designs (1993)Optimum Experimental DesignsOptimal design of experiments (1993)Optimal design of experimentsOptimum Experimental Designs (1992)Optimum Experimental DesignsExtreme Points of Moment Sets (1988)Extreme Points of Moment SetsThe Convergence of General Step-Length Algorithms for Regular Optimum Design Criteria (1978)The Convergence of General St…The Sequential Generation of $D$-Optimum Experimental Designs (1970)The Sequential Generation of …Bayesian Quadrature, Energy Minimization, and Space-Filling Design (2020)Bayesian Quadrature, Energy M…Finding Bayesian Optimal Designs for Nonlinear Models: A Semidefinite Programming‐Based Approach (2014)Finding Bayesian Optimal Desi…A semi-infinite programming based algorithm for finding minimax optimal designs for nonlinear models (2013)A semi-infinite programming b…Theory of optimal experiments (1972)Theory of Optimal Experiments. (1972)Bayesian Experimental Design: A Review (1995)Optimum Designs in Regression Problems (1959)Some General Points in the Theory of Optimal Experimental Design (1973)Optimal Bayesian design applied to logistic regression experiments (1989)An Algorithm for the Construction of "D-Optimal" Experimental Designs (2000)Empirical Model Building and Response Surfaces (1988)Optimal experimental design and some related control problems (2007)Quantile-Based Optimization of Noisy Computer Experiments With Tunable Precision (2012)A Review of Modern Computational Algorithms for Bayesian Optimal Design (2015)Optimal design with bounded density: optimization algorithms of the exchange type (1989)Spatial prediction from networks (1990)An overview of design of experiments (1996)On the Neyman–Pearson problem for law-invariant risk measures and robust utility functionals (2004)Linking Vanillas and VIX Options: A Constrained Martingale Optimal Transport Problem (2015)Toward Machine Wald (2017)Uniform Design: Theory and Application (2000)State-of-the-Art Review: A User’s Guide to the Brave New World of Designing Simulation Experiments (2005)Making and Evaluating Point Forecasts (2011)Response Surface Methodology: A Retrospective and Literature Survey (2004)Global sensitivity analysis using polynomial chaos expansions (2007)Design of computer experiments: space filling and beyond (2011)Design issues for generalized linear models: A review (2006)Model-Based Design of Parallel Experiments (2007)Monotonic convergence of a general algorithm for computing optimal designs (2010)Designing Conjoint Choice Experiments Using Managers' Prior Beliefs (2001)Optimization of experimental design in fMRI: a general framework using a genetic algorithm (2003)
this work references cited by second hop

References

  • 1993Optimal design of experiments1,539 cited
  • 1993Optimum Experimental Designs1,447 cited
  • 1992Optimum Experimental Designs815 cited
  • 1970The Sequential Generation of $D$-Optimum Experimental Designs465 cited
  • 1997Model-Oriented Design of Experiments409 cited
  • 1999Model-Oriented Design of Experiments355 cited
  • 1994Optimal Design of Experiments302 cited
  • 1988Extreme Points of Moment Sets103 cited
  • 1978The Convergence of General Step-Length Algorithms for Regular Optimum Design Criteria78 cited

Cited by

  • 2014Finding Bayesian Optimal Designs for Nonlinear Models: A Semidefinite Programming‐Based Approach35 cited
  • 2020Bayesian Quadrature, Energy Minimization, and Space-Filling Design28 cited
  • 2013A semi-infinite programming based algorithm for finding minimax optimal designs for nonlinear models27 cited

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