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Sparse Additive Ordinary Differential Equations for Dynamic Gene Regulatory Network Modeling

Wu, Hulin; Lu, Tao; Xue, Hongqi; Liang, Hua - In: Journal of the American Statistical Association 109 (2014) 506, pp. 700-716

The gene regulation network (GRN) is a high-dimensional complex system, which can be represented by various mathematical or statistical models. The ordinary differential equation (ODE) model is one of the popular dynamic GRN models. High-dimensional linear ODE models have been proposed to...

Persistent link: https://www.econbiz.de/10010824061

Parameter Estimation for Differential Equation Models Using a Framework of Measurement Error in Regression Models

Liang, Hua; Wu, Hulin - In: Journal of the American Statistical Association 103 (2008) 484, pp. 1570-1583

Persistent link: https://www.econbiz.de/10004982705

Efficient Local Estimation for Time-Varying Coefficients in Deterministic Dynamic Models With Applications to HIV-1 Dynamics

Chen, Jianwei; Wu, Hulin - In: Journal of the American Statistical Association 103 (2008) March, pp. 369-384

Persistent link: https://www.econbiz.de/10005734073

Correction

Liang, Hua; Wu, Hulin - In: Journal of the American Statistical Association 105 (2010) 492, pp. 1636-1636

Persistent link: https://www.econbiz.de/10008784073