A non-parametric generalization of an ant colony path selection model, inspired by generalized elephant random walks, is used to estimate preference probabilities via maximum likelihood under a monotonicity constraint, with theoretical guarantees.
Asymptotic properties of generalized elephant random walks
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A Statistical Framework for Learning Preferences from the Past
A non-parametric generalization of an ant colony path selection model, inspired by generalized elephant random walks, is used to estimate preference probabilities via maximum likelihood under a monotonicity constraint, with theoretical guarantees.