| 书目名称 | Nonparametric Bayesian Inference |
| 副标题 | Contributions by Jea |
| 编辑 | Jean-Pierre Florens,Michel Mouchart |
| 视频video | |
| 概述 | Presents a rigorous foundations of Bayesian statistics.Analyzes Dirichlet processes generated by the marginal of Dirichlet prior nonparametric model.Includes nonparametric durations models including c |
| 图书封面 |  |
| 描述 | .This book is a compilation of unpublished papers written by Jean-Marie Rolin (with several co-authors) on nonparametric bayesian estimation.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 applications to different fields like econometrics or biometrics.These papers cover a variety of topics, including:..• The Mathematical structure of the Bayesian model and the main concepts (sufficiency, ancillarity, invariance…)..• Representation of the Dirichlet processes and of the associated Polya urn model and applications to nonparametric bayesian analysis...• Contributions to duration models and to their non parametric bayesian treatment.. |
| 出版日期 | Book 2024 |
| 关键词 | Bayesian nonparemetric models; Dirichlet processes; Bayesian moment estimation; Duration models; Mathema |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-61329-6 |
| isbn_softcover | 978-3-031-61331-9 |
| isbn_ebook | 978-3-031-61329-6 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 16:17:19
