论文标题
反问题制定中的参数选择方法
Parameter Selection Methods in Inverse Problem Formulation
论文作者
论文摘要
我们讨论{\ em先验}选择的参数选择的方法（例如，具有众多状态变量和更大数量参数的动态系统中的反问题公式（例如最大似然，普通和普遍的最小二乘正方形）。我们用HIV动力学内主机模型说明了这些想法，该模型已通过临床数据成功验证并用于预测。
We discuss methods for {\em a priori} selection of parameters to be estimated in inverse problem formulations (such as Maximum Likelihood, Ordinary and Generalized Least Squares) for dynamical systems with numerous state variables and an even larger number of parameters. We illustrate the ideas with an in-host model for HIV dynamics which has been successfully validated with clinical data and used for prediction.
