A Hierarchical Adaptive Approach to Optimal Experimental Design

Experimentation is at the core of research in the behavioral and neural sciences, yet observations can be expensive and time-consuming to acquire (e.g., MRI scans, responses from infant participants). A major interest of researchers is designing experiments that lead to maximal accumulation of infor...

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Veröffentlicht in:	Neural computation 2014-11, Vol.26 (11), p.2465-2492
Hauptverfasser:	Kim, Woojae, Pitt, Mark A, Lu, Zhong-Lin, Steyvers, Mark, Myung, Jay I
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Bayes Theorem Bayesian analysis Brain Computer Simulation Data Interpretation, Statistical Design optimization Humans Letters Neurosciences NMR Nuclear magnetic resonance Research Design Simulation Visual Perception
Online-Zugang:	Volltext
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