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5. EXTRA HIGH-DIMENSIONAL LINEAR ODE MODEL SELECTION AND PARAMETER ESTIMATION:A MATRIX-BASED APPROACH

EXTRA HIGH-DIMENSIONAL LINEAR ODE MODEL SELECTION AND PARAMETER ESTIMATION:A MATRIX-BASED APPROACH

来源 :上海交通大学 | 被引量 : 0次 | 上传用户：caohf

【摘 要】

：

Ordinary differential equations(ODEs)are widely used to model the dynamic behavior of a complex system.Parameter estimation and variable selection for a "Big System" with high-dimensional linear ODEs

【作 者】

：

Hulin Wu Leqin Wu Xing Qiu Ya-Xiang Yuan 

【机 构】

：

University of Texas Health Science Center at Houston,Houston,TX 77030,USA

【出 处】

：

上海交通大学

【发表日期】

：

2016年4期

【关键词】

：

High-dimensional data Model selection Separable least squares Similarity transfo 

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　　Ordinary differential equations(ODEs)are widely used to model the dynamic behavior of a complex system.Parameter estimation and variable selection for a "Big System" with high-dimensional linear ODEs are very challenging due to the difficulty of nonlinear optimization problem with an extra-high parameter space.

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