A market choice model with random-size sampling from past customers is represented as an elephant random walk variant, with proofs of almost sure convergence of S_n/n and regime-dependent distributional limits for scaled S_n.
Elephant random walk with multiple extractions
2 Pith papers cite this work. Polarity classification is still indexing.
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A lattice field theory model is proposed for real neuron networks that incorporates time dynamics into maximum entropy descriptions, framing BCI recordings as a free energy principle variant.
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Elephant random walk with attributed steps and extractions of random sizes
A market choice model with random-size sampling from past customers is represented as an elephant random walk variant, with proofs of almost sure convergence of S_n/n and regime-dependent distributional limits for scaled S_n.
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Lattice Field Theory for a network of real neurons
A lattice field theory model is proposed for real neuron networks that incorporates time dynamics into maximum entropy descriptions, framing BCI recordings as a free energy principle variant.