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A Pathwise Fractional One Compartment Intra-Veinous Bolus Model

机译:静脉内推注模型中的一种途径分数一个隔室

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To extend the deterministic compartments pharmacokinetics models as diffusions seems not realistic on the biological side because the paths of these stochastic processes are not smooth enough. In order to extend the one compartment intra-veinous bolus models, this paper suggests to model the concentration process $C$ by a class of stochastic differential equations driven by a fractional Brownian motion of Hurst parameter belonging to $]1/2,1[$.The first part of the paper provides probabilistic and statistical results on the concentration process $C$: the distribution of $C$, a control of the uniform distance between $C$ and the solution of the associated ordinary differential equation, and consistent estimators of the elimination constant, of the Hurst parameter of the driving signal, and of the volatility constant.The second part of the paper provides applications of these theoretical results on simulated concentrations: a method to choose the parameters on small sets of observations, and simulations of the estimators of the elimination constant and of the Hurst parameter of the driving signal. The relationship between the quality of the estimations and the size/length of the sample is discussed.
机译:为了将确定性隔室扩展药代动力学模型,因为扩散在生物方面似乎不现实,因为这些随机过程的路径不够平滑。为了延长一个隔室内的静脉内推注模型,本文建议通过一类由属于$的赫斯特参数的分数布朗运动驱动的一类随机微分方程来模拟浓度过程$ C $] 1 / 2,1 [ $。本文的第一部分提供了概率和统计结果对浓缩过程$ C $:$ C $的分布,控制C $的均匀距离和相关的普通微分方程的解决方案,以及一致消除常数的消除常数,驱动信号的狭步参数,以及挥发性常数。本文的第二部分提供了这些理论结果对模拟浓度的应用:选择小组观测的参数的方法,以及消除常数和驱动信号仓际参数的估计模拟。讨论了估计质量与样本尺寸/长度之间的关系。

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