Festschrift in Honor of R. Dennis Cook
portes grátis
Festschrift in Honor of R. Dennis Cook
Fifty Years of Contribution to Statistical Science
Bura, Efstathia; Li, Bing
Springer Nature Switzerland AG
04/2022
192
Mole
Inglês
9783030690113
15 a 20 dias
326
Descrição não disponível.
Sufficient dimension reduction through independence and conditional mean independence measures - Yuexiao Dong.- Model-based inverse regression and its applications - Tao Wang and Lixing Zhu.- Cook's Fisher Lectureship revisited for semi-supervised data reduction - Jae Keun Yoo.- Global testing under sparse alternatives for single index models - Qian Lin, Zhigen Zhao, and Jin Liu.- Supervised dimension reduction for spatian data - Christoph Muehlmann, Hanna Oja, and Klaus Nordhausen.- Sufficient dimension folding with categorical predictors - Yuanwen Wang, Yuan Xue, Qingcong Yuan, and Xiangrong Yin.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
regression;classification;sufficient dimesion reduction;graphics;multivariate analysis;design of experiments;population genetics;dimension reduction;SDR;Sliced Average Variance Estimation;Minimum Discrepancy Approach;Model-Free Variable Selection;Sufficient Dimension Reduction Subspaces;big data;experimental design
Sufficient dimension reduction through independence and conditional mean independence measures - Yuexiao Dong.- Model-based inverse regression and its applications - Tao Wang and Lixing Zhu.- Cook's Fisher Lectureship revisited for semi-supervised data reduction - Jae Keun Yoo.- Global testing under sparse alternatives for single index models - Qian Lin, Zhigen Zhao, and Jin Liu.- Supervised dimension reduction for spatian data - Christoph Muehlmann, Hanna Oja, and Klaus Nordhausen.- Sufficient dimension folding with categorical predictors - Yuanwen Wang, Yuan Xue, Qingcong Yuan, and Xiangrong Yin.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
regression;classification;sufficient dimesion reduction;graphics;multivariate analysis;design of experiments;population genetics;dimension reduction;SDR;Sliced Average Variance Estimation;Minimum Discrepancy Approach;Model-Free Variable Selection;Sufficient Dimension Reduction Subspaces;big data;experimental design
