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Updated: May 4, 2026

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Analytical solution of a stochastic model of risk spreading with global coupling
Satoru Morita1, Jin Yoshimura2
1Department of Mathematical and Systems Engineering, Shizuoka University, Hamamatsu 432-8561, Japan.
Abstract:
We study a stochastic matrix model to understand the mechanics of risk spreading (or bet hedging) by dispersion. Up to now, this model has been mostly dealt with numerically, except for the well-mixed case. Here, we present an analytical result that shows that optimal dispersion leads to Zipf's law. Moreover, we found that the arithmetic ensemble average of the total growth rate converges to the geometric one, because the sample size is finite.
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