Robust rank canonical correlation analysis for multivariate survival data
From MaRDI portal
Publication:6593383
DOI10.5705/ss.202022.0069MaRDI QIDQ6593383
Publication date: 26 August 2024
Published in: STATISTICA SINICA (Search for Journal in Brave)
canonical correlation analysisright-censoringinverse probability of censoring weightingKendall's \(\tau\) correlation
Cites Work
- Unnamed Item
- Unnamed Item
- A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis
- Extensions of Sparse Canonical Correlation Analysis with Applications to Genomic Data
- Competing Risks Quantile Regression
- Sparse canonical correlation analysis
- A learning algorithm for adaptive canonical correlation analysis of several data sets
- Survival and event history analysis. A process point of view
- Kaplan-Meier estimate on the plane
- Influence in canonical correlation analysis
- A Dvoretzky-Kiefer-Wolfowitz type inequality for the Kaplan-Meier estimator.
- Regularized estimation of large covariance matrices
- Robust canonical correlations: a comparative study
- Influence functions and efficiencies of the canonical correlation and vector estimates based on scatter and shape matrices
- Semiparametric theory and missing data.
- Testing independence of bivariate interval-censored data using modified Kendall's tau statistic
- Censored rank independence screening for high-dimensional survival data
- Nonparametric Independence Screening in Sparse Ultra-High-Dimensional Additive Models
- Outlier resistant estimators for canonical correlation analysis
- A Concordance Test for Independence in the Presence of Censoring
- Tests of Independence for Bivariate Survival Data
- An iterative penalized least squares approach to sparse canonical correlation analysis
- Probability Inequalities for Sums of Bounded Random Variables
- RELATIONS BETWEEN TWO SETS OF VARIATES
This page was built for publication: Robust rank canonical correlation analysis for multivariate survival data
