Conditioning via resets in a socks-before-shoes population model imposes hierarchical temporal ordering on multi-step processes, making fastest-growing populations automatically the most ordered when disorder incurs a time penalty.
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Presents a drift transformation framework for multidimensional diffusions that yields product-form transition densities, with explicit results for Wiener and Ornstein-Uhlenbeck cases including resetting and stochastic ordering.
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Conditioning as a route to stereotyped behavior in growing populations
Conditioning via resets in a socks-before-shoes population model imposes hierarchical temporal ordering on multi-step processes, making fastest-growing populations automatically the most ordered when disorder incurs a time penalty.