Analysis of competing risks by using Bayesian smoothing

Scandinavian Journal of Statistics

Volumn 27, Issue 4, 2000, Pages 605-617

  Gasbarra, Dario ^a   Karia, S R ^b  

^a UNIVERSITY OF HELSINKI   (Finland)

^b NONE

Author keywords

Censoring; Data augmentation; Dirichlet distribution; Gamma process prior; Kernel smoothing; Markov chain Monte Carlo

Indexed keywords

EID: 0034338191     PISSN: 03036898     EISSN: None     Source Type: Journal    
DOI: 10.1111/1467-9469.00211     Document Type: Article

References (11)

1. Aldous, D. J. (1986). Exchangeability and related topics. In Ecole d'eté de probabilités de St. Flour 1983. Spinger Lecture Notes in Mathematics 1117, Spinger-Verlag, New York.
2. Andersen, P. K., Borgan, Ø., Gill, R. D. & Keiding, N. (1993). Statistical models based on counting processes. Spinger-Verlag, New York.
3. Arjas, E. & Gasbarra, D. (1994). Nonparametric Bayesian inference from right censored survival data, using the Gibbs sampler. Statist. Sinica 4, 505-524.
4. Arjas, E. & Heikkinen, J. (1996). An algorithm for nonparametric estimation of a Poisson intensity. Comput. Statist. 12, 385-402.
5. Besag, J., Green, P., Higdon, D. & Mengersen, K. (1995). Bayesian computation and stochastic systems. Statist. Sci. 10, 3-66.
6. Brémaud, P. (1981). Point processes and queues Springer-Verlag, New York.
7. Geyer, C. J. & Møller, J. (1994). Simulation and likelihood inference for spatial point processes. Scand. J. Statist. 21, 359-373.
8. Hjort, N. L. (1990). Nonparametric Bayes estimators based on beta processes in models for life history data. Ann. Statist. 18, 1259-1294.
9. Lo, A. Y. & Weng, C. S. (1989). On a class of Bayesian nonparametric estimates: II. Hazard rate estimates. Ann. Inst. Statist. Math. 41, 227-245.
10. Prakasa Rao, B. L. S. (1983). Nonparametric functional estimation. Academic Press, New York.
11. Wolpert, R. L. & Ickstadt, K. (1998). Gamma/Poisson random field models for spatial statistics. Biometrika 85, 251-267.