A note on the dependence structure of hierarchical completely random measures
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Publication:6616216
DOI10.1007/978-3-031-42413-7_8MaRDI QIDQ6616216
Marta Catalano, Claudio Del Sole
Publication date: 8 October 2024
Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Bayesian problems; characterization of Bayes procedures (62C10) Empirical decision procedures; empirical Bayes procedures (62C12)
Cites Work
- Title not available (Why is that?)
- On a class of Bayesian nonparametric estimates. II: Hazard rate estimates
- On a class of Bayesian nonparametric estimates: I. Density estimates
- A Bayesian nonparametric approach to reliability
- Distributional results for means of normalized random measures with independent increments
- Distribution theory for hierarchical processes
- Tailfree and neutral random probabilities and their posterior distributions
- Survival analysis via hierarchically dependent mixture hazards
- Measuring dependence in the Wasserstein distance for Bayesian nonparametric models
- Thinned completely random measures with applications in competing risks models
- The dependent Dirichlet process and related models
- Completely random measures
- Conjugacy as a Distinctive Feature of the Dirichlet Process
- Hierarchical Dirichlet Processes
- A Class of Hazard Rate Mixtures for Combining Survival Data From Different Experiments
- Compound Random Measures and their Use in Bayesian Non-Parametrics
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