Nonparametric Bayesian Inference Contributions by Jean-Marie Rolin /
This book is a compilation of unpublished papers written by Jean-Marie Rolin (with several co-authors) on nonparametric bayesian estimation. Jean-Marie was professor of statistics at University of Louvain and died on November 5th, 2018. He made important contributions in mathematical statistics with...
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| Altri autori: | , |
| Natura: | Elettronico eBook |
| Lingua: | inglese |
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Cham :
Springer Nature Switzerland : Imprint: Springer,
2024.
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| Edizione: | 1st ed. 2024. |
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| Accesso online: | https://doi.org/10.1007/978-3-031-61329-6 |
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Sommario:
- Chapter 1. On the a-Algebraic Realization Problem
- Chapter 2. Weak Conditional Independence And Relative Invariance in Bayesian Statistics
- Chapter 3. Some Useful Properties of the Dirichlet Process
- Chapter 4. On the Distribution of Jumps of the Dirichlet Process
- Chapter 5. Bayes, Bootstrap, Moments
- Chapter 6. Smooth vs. likelihood estimation for a class of mixtures of discrete distributions
- Chapter 7. Bayesian Encompassing Specification Tests of a Parametric Model against a Non Parametric Alternative
- Chapter 8. Nonparametric Bayesian Survival Analysis
- Chapter 9. Simulation of Posterior Distributions in Nonparametric Censored Analysis
- Chapter 10. Bayesian Identification of Semi-Parametric Binary Response Models
- Chapter 11. Survival Data with Explanatory Processes: A Full Nonparametric Bayesian Analysis
- Chapter 12. Nonparametric Competing Risks Models: Identification and Strong Consistency.