Hazard Estimation With Bivariate Survival Data and Copula Density Estimation

Bivariate survival function can be expressed as the composition of marginal survival functions and a bivariate copula and, consequently, one may estimate bivariate hazard functions via marginal hazard estimation and copula density estimation. Leveraging on earlier developments on penalized likelihoo...

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Bibliographic Details
Published inJournal of computational and graphical statistics Vol. 24; no. 4; pp. 1053 - 1073
Main Author Gu, Chong
Format Journal Article
LanguageEnglish
Published Alexandria Taylor & Francis 02.10.2015
American Statistical Association, Institute of Mathematical Statistics, and Interface Foundation of North America
Taylor & Francis Ltd
Subjects
Copularization
Cross-validation
Density
Estimating techniques
Mathematical functions
Nonparametric and High Dimensional Problems
Open source software
Parameter estimation
Penalized likelihood
Simulation
Smoothing parameter
Studies
Online AccessGet full text
ISSN1061-8600
1537-2715
DOI10.1080/10618600.2014.964356

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