| 书目名称 | Tools for Statistical Inference |
| 副标题 | Observed Data and Da |
| 编辑 | Martin A. Tanner |
| 视频video | |
| 丛书名称 | Lecture Notes in Statistics |
| 图书封面 |  |
| 描述 | .From the reviews.: The purpose of the book under review is to give a survey of methods for the Bayesian or likelihood-based analysis of data. The author distinguishes between two types of methods: the observed data methods and the data augmentation ones. The observed data methods are applied directly to the likelihood or posterior density of the observed data. The data augmentation methods make use of the special "missing" data structure of the problem. They rely on an augmentation of the data which simplifies the likelihood or posterior density. #.Zentralblatt für . .Mathematik.# |
| 出版日期 | Book 19911st edition |
| 关键词 | Monte Carlo method; expectation–maximization algorithm; generalized linear model; latent class analysis |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4684-0510-1 |
| isbn_ebook | 978-1-4684-0510-1Series ISSN 0930-0325 Series E-ISSN 2197-7186 |
| issn_series | 0930-0325 |
| copyright | Springer-Verlag Berlin Heidelberg 1991 |
发表于 2025-3-21 18:29:58
