Results 61 to 70 of about 2,991,648 (129)

A Quasi-residuals method in sliced inverse regression

open access: yes
An effective data-analytic tool, sliced inverse regression(SIR), for the analysis of multivariate data was developed by Li (Technical Report, Department of Mathematics, UCLA, 1989) and Duan and Li (J. Amer. Statist. Assoc. 86 (1991) 316).
Tian, Maozai, Li, Guoying
core  

Weighted sliced inverse regression for scalable supervised dimensionality reduction of spatial transcriptomics data [PDF]

open access: yesNat Commun
Woollard M   +8 more
europepmc   +2 more sources

Comparison of regularized sliced inverse regression after multiple imputation in right-censored response

open access: yes, 2016
In high-dimensional data analysis, dimension reduction is necessary to avoid the curse of dimensionality. Sliced inverse regression (SIR; Li, 1991) is a widely used method in high-dimensional regression problem.
심수아
core   +1 more source

Influence Functions for Sliced Inverse Regression

open access: yes
Sliced inverse regression (SIR) is a dimension reduction technique that is both efficient and simple to implement. The procedure itself relies heavily on estimates that are known to be highly non-robust and, as such, the issue of robustness is often ...
L. A. PRENDERGAST
core   +1 more source

Monitoring of Sitting Postures With Sensor Networks in Controlled and Free-living Environments: Systematic Review. [PDF]

open access: yesJMIR Biomed Eng, 2021
Kappattanavar AM   +5 more
europepmc   +1 more source

Postpartum breast cancer: evidence for a distinct phenotype. [PDF]

open access: yesJ Natl Cancer Inst
Sherman ME   +23 more
europepmc   +1 more source

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