書目名稱 | Nonparametric Bayesian Inference |
副標(biāo)題 | Contributions by Jea |
編輯 | Jean-Pierre Florens,Michel Mouchart |
視頻video | http://file.papertrans.cn/670/669683/669683.mp4 |
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 |
圖書封面 |  |
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unpublished papers written by?Jean-Marie Rolin (with?several co-authors) on?nonparametric bayesian estimation.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 |
關(guān)鍵詞 | 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 |