| 紀錄類型: |
書目-電子資源
: Monograph/item
|
| 正題名/作者: |
Nonparametric Bayesian inference/ edited by Jean-Pierre Florens, Michel Mouchart. |
| 其他題名: |
contributions by Jean-Marie Rolin / |
| 其他作者: |
Rolin, J. M., |
| 出版者: |
Cham :Springer Nature Switzerland : : 2024., |
| 面頁冊數: |
xiii, 376 p. :ill., digital ;24 cm. |
| 內容註: |
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. |
| Contained By: |
Springer Nature eBook |
| 標題: |
Bayesian statistical decision theory. - |
| 電子資源: |
https://doi.org/10.1007/978-3-031-61329-6 |
| ISBN: |
9783031613296 |