David Ruppert,M P Wand,Raymond J Carroll
David Ruppert
Semiparametric regression is a fusion between parametric regression and nonparametric regression that integrates low-rank penalized splines, mixed model and hierarchical Bayesian methodology - thus allowing more streamlined handling of long...
Penalized model-based clustering with cluster-specific diagonal covariance matrices and grouped variables [0.03%]
带有群组变量和簇特异性对角协方差矩阵的惩罚模型聚类
Benhuai Xie,Wei Pan,Xiaotong Shen
Benhuai Xie
Clustering analysis is one of the most widely used statistical tools in many emerging areas such as microarray data analysis. For microarray and other high-dimensional data, the presence of many noise variables may mask underlying clusterin...
SIMEX and standard error estimation in semiparametric measurement error models [0.03%]
SIMEX及半参数测量误差模型中的标准误差估计问题
Tatiyana V Apanasovich,Raymond J Carroll,Arnab Maity
Tatiyana V Apanasovich
SIMEX is a general-purpose technique for measurement error correction. There is a substantial literature on the application and theory of SIMEX for purely parametric problems, as well as for purely non-parametric regression problems, but th...
A practical illustration of the importance of realistic individualized treatment rules in causal inference [0.03%]
因果推断中现实的个体化治疗方案的重要性之实践说明
Oliver Bembom,Mark J van der Laan
Oliver Bembom
The effect of vigorous physical activity on mortality in the elderly is difficult to estimate using conventional approaches to causal inference that define this effect by comparing the mortality risks corresponding to hypothetical scenarios...