Practical Identifiability of a Minimal Adaptive Learning-Gain Model for Binary Feedback: A Simulation Study
Social learning is jointly determined by several computationally distinct quantities, namely baseline belief (prior mean), sensitivity to feedback (learning gain), and the temporal uncertainty of belief (drift), which are rarely separated in empirical designs. Here we systematically characterise the practical identifiability and predictive adequacy of a minimal four-parameter adaptive…
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