The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Model Selection and Semiparametric Inference for Bivariate Failure-Time Data
Abstract
We propose model selection procedures for bivariate survival models for censored data generated by the Archimedean copula family. In route to constructing the selection methodology, we develop estimates of some time-dependent association measures, including estimates of the local and global Kendall's tau, local odds ratio, and other measures defined throughout the literature. We propose a goodness-of-fit-based model selection methodology as well as a graphical approach. We show that the proposed methods have desirable asymptotic properties and perform well in finite samples.
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Cites
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Cited by
Everything You Always Wanted to Know about Copula Modeling but Were Afraid to Ask
Genest, C., & Favre, A.-C. (2007) · Journal of Hydrologic Engineering · doi:10.1061/(asce)1084-0699(2007)12:4(347 · Cited by 1,618
Estimating the success of re-identifications in incomplete datasets using generative models
Rocher, L., Hendrickx, J. M., & de Montjoye, Y.-A. (2019) · Nature Communications · doi:10.1038/s41467-019-10933-3 · Cited by 816
Enjoy the Joy of Copulas: With a Package copula
Yan, J. (2007) · Journal of Statistical Software · doi:10.18637/jss.v021.i04 · Cited by 502
Metadata
- Authors
- Wang, W., & Wells, M. T.
- Venue
- Journal of the American Statistical Association
- Publisher
- Informa UK Limited
- Published
- 2000-03
- Volume
- 95
- Issue
- 449
- Pages
- 62-72
- ISSN
- 0162-1459 (ISSN-L)
- 1537-274X
- OpenAlex
- W2044453692
- Cited by
- 255
- References
- 29
- FWCI
- 4.50
- Type
- journal article
- Language
- en
- Open access
- closed
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