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Adaptive Design Optimization: A Mutual Information-Based Approach to Model Discrimination in Cognitive Science
11 references·16 citing·36 second hop
Adaptive Design Optimization: A Mutual Information-Based Approach to Model Discrimination in Cognitive Science (2009)Adaptive Design Optimization: A Mutual In…Optimal Decision Stimuli for Risky Choice Experiments: An Adaptive Approach (2012)Optimal Decision Stimuli for …Bayesian Experimental Design: A Review (1995)Bayesian Experimental Design:…Optimum Experimental Designs (1993)Optimum Experimental DesignsOptimum Experimental Designs (1992)Optimum Experimental DesignsOptimum Experimental Designs (1992)Optimum Experimental DesignsExpected Information as Expected Utility (1979)Expected Information as Expec…The Design of Experiments for Discriminating Between two Rival Models (1975)The Design of Experiments for…Optimal Design: Experiments for Discriminating between Several Models (1975)Optimal Design: Experiments f…Discrimination Among Mechanistic Models (1967)Discrimination Among Mechanis…Optimum Experimental Designs (1959)Optimum Experimental DesignsOn a Measure of the Information Provided by an Experiment (1956)On a Measure of the Informati…People display consistent recency and primacy effects in behavior and neural activity across perceptual and value-based judgments (2025)People display consistent rec…Modern Bayesian Experimental Design (2024)Modern Bayesian Experimental …Bayesian sequential optimal experimental design for nonlinear models using policy gradient reinforcement learning (2023)Bayesian sequential optimal e…Rapid, precise, and reliable measurement of delay discounting using a Bayesian learning algorithm (2019)Rapid, precise, and reliable …Interpreting Model Comparison Requires Understanding Model-Stimulus Relationships (2019)Interpreting Model Comparison…Exploring the space of human exploration (2019)Exploring the space of human …Bayesian Rapid Optimal Adaptive Design (BROAD): Method and application distinguishing models of risky choice (2019)Bayesian Rapid Optimal Adapti…Neuroadaptive Bayesian Optimization and Hypothesis Testing (2017)Neuroadaptive Bayesian Optimi…Asking the Right Questions About the Psychology of Human Inquiry: Nine Open Challenges (2017)Asking the Right Questions Ab…Entropy-Based Experimental Design for Optimal Model Discrimination in the Geosciences (2016)Entropy-Based Experimental De…An Optimized Design of Choice Experiments: A New Approach for Studying Decision Behavior in Choice Task Experiments (2014)An Optimized Design of Choice…A Hierarchical Adaptive Approach to Optimal Experimental Design (2014)A Hierarchical Adaptive Appro…Towards Bayesian experimental design for nonlinear models that require a large number of sampling times (2013)Towards Bayesian experimental…A tutorial on adaptive design optimization (2013)A tutorial on adaptive design…Sequential Optimal Design of Neurophysiology Experiments (2008)Sequential Optimal Design of …Model evaluation and selection (1920)Model evaluation and selectionTHE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)A Stochastic Approximation Method (1951)On the Experimental Attainment of Optimum Conditions (1951)Construction and optimality of generalized Youden designs II (1975)Experimental Design: Review and Comment (1984)Designs with a priori information for nonmarket valuation with choice experiments: A Monte Carlo study (2007)Applied Statistical Decision Theory (1962)Theory of optimal experiments (1972)Design and Analysis of Computer Experiments (1989)Kriging metamodeling in simulation: A review (2007)Response surface methodology (2010)Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)Design and Analysis of Industrial Experiments. (1955)On the Experimental Attainment of Optimum Conditions (1992)9 Computer experiments (1996)A Review of Modern Computational Algorithms for Bayesian Optimal Design (2015)Elicitation of Personal Probabilities and Expectations (1971)Optimal Bayesian design applied to logistic regression experiments (1989)Optimal prediction pools (2011)Robust experiment design via stochastic approximation (1985)Sequential Design of Experiments (1992)Optimal experimental design (2010)Maximum entropy sampling (1987)The Stag Hunt and the Evolution of Social Structure (2003)Signals (2010)Maximum Entropy Sampling and Optimal Bayesian Experimental Design (2000)Optimal experimental design and some related control problems (2007)Systems biology: experimental design (2009)Optimal design of experiments (1993)Response Surface Methodology: A Retrospective and Literature Survey (2004)Global sensitivity analysis using polynomial chaos expansions (2007)Curve Fitting and Optimal Design for Prediction (1978)D-optimal designs (1995)State-of-the-Art Review: A User’s Guide to the Brave New World of Designing Simulation Experiments (2005)Designing Conjoint Choice Experiments Using Managers' Prior Beliefs (2001)Optimization of experimental design in fMRI: a general framework using a genetic algorithm (2003)
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References

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  • 1956On a Measure of the Information Provided by an Experiment1,507 cited
  • 1993Optimum Experimental Designs1,447 cited
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  • 2012Optimal Decision Stimuli for Risky Choice Experiments: An Adaptive Approach61 cited

Cited by

  • 2013A tutorial on adaptive design optimization131 cited
  • 2008Sequential Optimal Design of Neurophysiology Experiments120 cited
  • 2024Modern Bayesian Experimental Design110 cited
  • 2014A Hierarchical Adaptive Approach to Optimal Experimental Design77 cited
  • 2017Neuroadaptive Bayesian Optimization and Hypothesis Testing

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67 cited
  • 2013Towards Bayesian experimental design for nonlinear models that require a large number of sampling times51 cited
  • 2023Bayesian sequential optimal experimental design for nonlinear models using policy gradient reinforcement learning42 cited
  • 2016Entropy-Based Experimental Design for Optimal Model Discrimination in the Geosciences36 cited
  • 2019Exploring the space of human exploration11 cited
  • 2019Bayesian Rapid Optimal Adaptive Design (BROAD): Method and application distinguishing models of risky choice9 cited
  • 2025People display consistent recency and primacy effects in behavior and neural activity across perceptual and value-based judgments8 cited
  • 2017Asking the Right Questions About the Psychology of Human Inquiry: Nine Open Challenges8 cited
  • 1920Model evaluation and selection7 cited
  • 2014An Optimized Design of Choice Experiments: A New Approach for Studying Decision Behavior in Choice Task Experiments7 cited
  • 2019Interpreting Model Comparison Requires Understanding Model-Stimulus Relationships7 cited
  • 2019Rapid, precise, and reliable measurement of delay discounting using a Bayesian learning algorithm7 cited