A simple construction of optimal estimation in multivariate marginal Cox regression
DOI10.1007/s11425-012-4400-4zbMath1318.62292OpenAlexW2063243763MaRDI QIDQ1933955
Zhiliang Ying, Wenquan Cui, Lin Cheng Zhao
Publication date: 28 January 2013
Published in: Science China. Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11425-012-4400-4
reproducing kernel Hilbert spacesempirical processesmartingaleestimating equationsmultivariate survival datalimit theorem of reproducing kernelsmarginal proportional hazards regressionWLW method
Asymptotic properties of parametric estimators (62F12) Estimation in multivariate analysis (62H12) Asymptotic distribution theory in statistics (62E20) Hilbert spaces with reproducing kernels (= (proper) functional Hilbert spaces, including de Branges-Rovnyak and other structured spaces) (46E22) Estimation in survival analysis and censored data (62N02)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Cox's regression model for counting processes: A large sample study
- Modeling survival data: extending the Cox model
- Analysis of multivariate survival data
- Weak convergence and empirical processes. With applications to statistics
- Stochastic processes with sample paths in reproducing kernel Hilbert spaces
- A continuous multivariate exponential distribution
- Partial likelihood
- Marginal Regression Models for Multivariate Failure Time Data
- Theory of Reproducing Kernels