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- W3086511271 abstract "Assume an uncertain process follows an uncertain differential equation, and some realizations of this process are observed. Parameter estimation for the uncertain differential equation that fits the observed data as much as possible is a core problem in practice. This paper first presents a problem of initial value estimation for uncertain differential equations and proposes an estimation method. In addition, the method of moments is recast for estimating the time-varying parameters in uncertain differential equations. Using those techniques, a COVID-19 spread model based on uncertain differential equation is derived, and the zero-day of COVID-19 spread in China is inferred." @default.
- W3086511271 created "2020-09-21" @default.
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- W3086511271 date "2020-09-15" @default.
- W3086511271 modified "2023-10-18" @default.
- W3086511271 title "Initial value estimation of uncertain differential equations and zero-day of COVID-19 spread in China" @default.
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- W3086511271 doi "https://doi.org/10.1007/s10700-020-09337-6" @default.
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