A Note on the Dependence Structure of Hierarchical Completely Random Measures
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-42413-7_8
Reference23 articles.
1. Camerlenghi, F., Lijoi, A., Orbanz, P., Prünster, I.: Distribution theory for hierarchical processes. Ann. Stat. 47(1), 67–92 (2019)
2. Camerlenghi, F., Lijoi, A., Prünster, I.: Survival analysis via hierarchically dependent mixture hazards. Ann. Stat. 49, 863–884 (2021)
3. Catalano, M., Del Sole, C., Lijoi, A., Prünster, I.: A unified approach to hierarchical random measures. Submitted (2023)
4. Catalano, M., Lavenant, H., Lijoi, A., Prünster, I.: A Wasserstein index of dependence for random measures. ArXiv 2109.06646 (2022)
5. Catalano, M., Lijoi, A., Prünster, I.: Measuring dependence in the Wasserstein distance for Bayesian nonparametric models. Ann. Stat. 49(5), 2916–2947 (2021)
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