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Life Sciences 3.6

Mathematicians unlock pattern in random walks with memory

A new mathematical model describes how systems with long-term memory behave—moving beyond the assumption that events are independent. The work could improve predictions in network dynamics, disease spread, and financial markets where past choices influence future outcomes.

Originaltitel: Bernoulli Elephant Random Walks

Abstrakt

<p>In the simple random walk, the steps are independent. In contrast, in the elephant random walk every step depends on the whole past. One extension, as suggested by Bercu et al. [4], is to allow for stops/delays, that is, to put mass at zero. The present paper is devoted to, what we call, the <em>Bernoulli elephant random walk</em>, which comes up naturally in that context.</p>

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