Bayesian nonparametric estimation of survival functions with multiple-samples information
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Publication:1753142
DOI10.1214/18-EJS1420zbMath1473.62329arXiv1704.07645OpenAlexW2795549184MaRDI QIDQ1753142
Alan Riva Palacio, Fabrizio Leisen
Publication date: 28 May 2018
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1704.07645
Processes with independent increments; Lévy processes (60G51) Nonparametric estimation (62G05) Random measures (60G57) Estimation in survival analysis and censored data (62N02)
Related Items (3)
Survival Regression Models With Dependent Bayesian Nonparametric Priors ⋮ Compound vectors of subordinators and their associated positive Lévy copulas ⋮ Thinned completely random measures with applications in competing risks models
Uses Software
Cites Work
- Unnamed Item
- Vectors of two-parameter Poisson-Dirichlet processes
- On a class of Bayesian nonparametric estimates. II: Hazard rate estimates
- An introduction to copulas.
- Survival and event history analysis. A process point of view
- A Bayesian nonparametric approach to reliability
- Bayesian nonparametric estimation based on censored data
- Tailfree and neutral random probabilities and their posterior distributions
- A vector of Dirichlet processes
- Characterization of dependence of multidimensional Lévy processes using Lévy copulas
- Completely random measures
- Bayesian Nonparametric Nonproportional Hazards Survival Modeling
- Financial Modelling with Jump Processes
- A Class of Hazard Rate Mixtures for Combining Survival Data From Different Experiments
- A multivariate extension of a vector of two-parameter Poisson–Dirichlet processes
- Computational Methods for Multiplicative Intensity Models Using Weighted Gamma Processes
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