activity
20222026
most citedCharacterizing the robustness of Bayesian adaptive experimental designs to active learning bias

6 citations · 13 across the 12 of their papers we have counts for

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stat.AP2023★ 4 cited

Knowing what to know: Implications of the choice of prior distribution on the behavior of adaptive design optimization

Sabina J. Sloman, Daniel Cavagnaro, Stephen B. Broomell

Adaptive design optimization (ADO) is a state-of-the-art technique for experimental design (Cavagnaro, Myung, Pitt, & Kujala, 2010). ADO dynamically identifies stimuli that, in exp…