Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Basil S. Bayati"'
Publikováno v:
Frontiers in Ecology and Evolution, Vol 5 (2017)
Mobility networks facilitate the growth of populations, the success of invasive species, and the spread of communicable diseases among social animals, including humans. Disease control and elimination efforts, especially during an outbreak, can be op
Externí odkaz:
https://doaj.org/article/a85a84787e914335b79d4a4c9439eaf2
Autor:
Basil S. Bayati
Publikováno v:
Physical Review. E
We couple a stochastic collocation method with an analytical expansion of the canonical epidemiological master equation to analyze the effects of both extrinsic and intrinsic noise. It is shown that depending on the distribution of the extrinsic nois
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76a1b34ae848c664b9e0c984067bc390
https://doi.org/10.1103/physreve.93.052124
https://doi.org/10.1103/physreve.93.052124
Publikováno v:
Journal of Computational Physics. 230:13-26
We present an algorithm for adaptive mesh refinement applied to mesoscopic stochastic simulations of spatially evolving reaction-diffusion processes. The transition rates for the diffusion process are derived on adaptive, locally refined structured m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::acf90b58e14bd80ddb09b6fc70b8db5a
https://doi.org/10.1016/j.jcp.2010.08.035
https://doi.org/10.1016/j.jcp.2010.08.035
Autor:
Basil S. Bayati
Publikováno v:
The Journal of Chemical Physics. 146:244103
We describe a novel approach to quantifying the uncertainty inherent in the chemical kinetic master equation with stochastic coefficients. A stochastic collocation method is coupled to an analytical expansion of the master equation to analyze the eff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99aa852d44994125129dafcd8f3fc1ed
https://doi.org/10.1063/1.4986762
https://doi.org/10.1063/1.4986762
Autor:
Philip A. Eckhoff, Basil S. Bayati
Publikováno v:
Physical Review E. 86
We perform a high-order analytical expansion of the epidemiological susceptible-infectious-recovered multivariate master equation and include terms up to and beyond single-particle fluctuations. It is shown that higher order approximations yield qual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44d7be12e144d25582b0edb163c0087d
https://doi.org/10.1103/physreve.86.062103
https://doi.org/10.1103/physreve.86.062103