Titlebook: Nonparametric Bayesian Inference; Contributions by Jea Jean-Pierre Florens,Michel Mouchart Book 2024 The Editor(s) (if applicable) and The

放弃

FLACK

inventory

https://doi.org/10.1007/978-3-031-61329-6Bayesian nonparemetric models; Dirichlet processes; Bayesian moment estimation; Duration models; Mathema

好忠告人

模范

山崩

Badger

辩论

Weak Conditional Independence and Relative Invariance in Bayesian Statisticsssary conditions for the existence of a well-defined “marginal-conditional” decomposition (actually, a desintegration) or a .-finite measure. This framework is then used to handle invariance arguments in Bayesian statistics, with a particular emphasis on the search for mutually sufficient pairs of parameters and statistics.

Arteriography

Nonparametric Bayesian Survival Analysisill proposal of robust predictive distributions is also discussed. In the simple model with censored observations and without explanatory variables or heterogeneity factors, a complete description of the posterior distribution of the “predictive” hazard function is provided in the conditional model and in the joint model.

Figate