机译:估计高维中一般回归的稀疏减少
Shanghai Jiao Tong Univ, Dept Bioinformat & Biostat, Shanghai, Peoples R China|Yale Univ, Dept Biostat, New Haven, CT USA;
Univ N Carolina, Dept Biostat, Chapel Hill, NC USA;
Yale Univ, Dept Biostat, New Haven, CT USA;
Hong Kong Baptist Univ, Dept Math, Kowloon Tong, Hong Kong, Peoples R China;
Inverse modeling; Model-free dimension reduction; Sparsity;
机译:降维联合图嵌入和稀疏回归的框架
机译:高尺寸减小的高效稀疏估计
机译:估计大量高维回归中预测变量的充分减少
机译:基于核标准的三维图像回归共同稀疏回归
机译:稀疏的偏最小二乘回归,可同时进行降维和变量选择,并应用于高维基因组数据
机译:稀疏的偏最小二乘回归可同时减少维数和选择变量
机译:联合图嵌入和稀疏回归的降维框架