Výsledky vyhledávání - "de Espanés, Pablo Moisset"

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Forecasting COVID-19 Chile's second outbreak by a generalized SIR model with constant time delays and a fitted positivity rate

Autor: Cumsille, Patricio, Rojas-Díaz, Oscar, de Espanés, Pablo Moisset

The COVID-19 disease has forced countries to make a considerable collaborative effort between scientists and governments to provide indicators to suitable follow-up the pandemic's consequences. Mathematical modeling plays a crucial role in quantifyin

Externí odkaz: http://arxiv.org/abs/2012.14319

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Using a (slightly) more realistic model resolves the perfect mixing paradox

Autor: Jiliberto, Rodrigo Ramos, de Espanés, Pablo Moisset

In a recent paper published in Ecosphere, their authors suggest that extending the logistic growth model in its usual r - K parametrization to a multi-patch environment results in undesirable properties, that were referred to as the "perfect mixing p

Externí odkaz: http://arxiv.org/abs/1703.02962

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Strict majority bootstrap percolation in the r-wheel

Autor: Kiwi, Marcos, de Espanés, Pablo Moisset, Rapaport, Ivan, Rica, Sergio, Theyssier, Guillaume

In this paper we study the strict majority bootstrap percolation process on graphs. Vertices may be active or passive. Initially, active vertices are chosen independently with probability p. Each passive vertex becomes active if at least half of its

Externí odkaz: http://arxiv.org/abs/1308.3831

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Fixed-points in Random Boolean Networks: The impact of parallelism in the scale-free topology case

Autor: de Espanés, Pablo Moisset, Osses, Axel, Rapaport, Iván

Fixed points are fundamental states in any dynamical system. In the case of gene regulatory networks (GRNs) they correspond to stable genes profiles associated to the various cell types. We use Kauffman's approach to model GRNs with random Boolean ne

Externí odkaz: http://arxiv.org/abs/1203.1595

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