B. Rubin (2014). Bayesian Data Analysis, 3rd Edition. Boca-Raton, FL: Chapman & Hall/CRC Press.Gelman A, Carlin JB, Stern HS, Dunson DB, Vehtari A, et al. . (2013) Bayesian data analysis, 3rd edition. Boca Raton (Florida): CRC Press....
当当馨悦图书专营店在线销售正版《【出版社官方自营】贝叶斯数据分析 第3版 英文版 Bayesian Data Analysis 3rd Edition 数据处理 统计分析 数学【馨悦图书 正版】》。最新《【出版社官方自营】贝叶斯数据分析 第3版 英文版 Bayesian Data Analysis 3rd Edition 数据处理 统
Bayesian Data Analysis 3rd edn A. Gelman, J. B. Carlin, H. S. Stern, D. B. Dunson, A. Vehtari and D. B. Rubin, 2013 Boca Raton, Chapman and Hall–CRC 676 pp., £44.99 ISBN 1‐439‐84095‐4No abstract is available for this item.doi:10.1111/j.1467-985X.2014.12096_1.x...
Bayesian Data Analysis, Second Edition Incorporating new and updated information, this second edition of THE bestselling text in Bayesian data analysis continues to emphasize practice over theory, describing how to conceptualize, perform, and critique statistical analyses fro... A Gelman,JB Carlin,HS ...
et al (2013) Bayesian Data Analysis, 3rd Edition, Chapman and Hall/CRC Hastie, T., Tibshirani, R., Friedman, J. (2009) The Elements of Statistical Learning, Springer Hoffman, M.D., and Gelman, A. (2011) "The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte ...
Bayesian Data Analysis, Second Edition Incorporating new and updated information, this second edition of THE bestselling text in Bayesian data analysis continues to emphasize practice over theory, describing how to conceptualize, perform, and critique statistical analyses fro... A Gelman,JB Carlin,HS ...
Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition. Oxford: Academic Press; 2015, pp. 1–759. https://doi.org/10.1016/B978-0-12-405888-0.09999-2, http://arxiv.org/abs/arXiv:1011.1669v3. Google Scholar Cohen J. Statistical Power Analysis for the ...
This article explains the foundational concepts of Bayesian data analysis using virtually no mathematical notation. Bayesian ideas already match your intui
We provide an overview of Bayesian estimation, hypothesis testing, and model-averaging and illustrate how they benefit parametric survival analysis. We contrast the Bayesian framework to the currently dominant frequentist approach and highlight advantage
(NATURAL SCIENCE EDITION) 52, 1736–1740 (2012). (in Chinese) ADS Google Scholar J. Ling, G.J. Liu, J.L. Li et al., Fault prediction method for nuclear power machinery based on Bayesian PPCA recurrent neural network model. Nucl. Sci. Tech. 31, 75 (2020). https://doi.org/...