(2012). The time has come: Bayesian methods for data analysis in the organizational sciences. Organizational Research Methods, 15(4), 722-752.Kruschke, J. K., Aguinis, H., & Joo, H. (2012). The time has come: Bayesian methods for data analysis in ...
Bayesian Methods for Data Analysis, Third Edition Broadening its scope to nonstatisticians, provides an accessible introduction to the foundations and applications of Bayesian analysis. Along with a comple... C Press - 《Crc Press》 被引量: 277发表: 2008年 The Time Has Come: Bayesian Methods fo...
Review of Bayesian methods for data analysis, third edition.Kaplan, David
Because Bayesian statistical methods can be applied to any data, regardless of the type of cognitive model (Bayesian or otherwise) that motivated the data collection, Bayesian methods for data analysis will continue to be appropriate even if Bayesian models of mind lose their appeal. View article ...
Texts in Statistical Science(共72册),这套丛书还有 《A Course in the Large Sample Theory of Statistical Inference》《Bayesian Methods for Data Analysis (3/e)》《Statistical Machine Learning: A Unified Framework》《Sampling: Design and Analysis》《A Course in Large Sample Theory》等。 喜欢读"Baye...
R. Bayesian methods in health technology assessment: a review. Health Technol. Assess. https://doi.org/10.3310/hta4380 (2000). Article Google Scholar Kruschke, J. K., Aguinis, H. & Joo, H. The time has come: Bayesian methods for data analysis in the organizational sciences. Organ. ...
formally incorporated into statistical evaluation, Bayesian methods explicitly quantify the otherwise implicit influ- ence of clinical judgment and prior beliefs on the interpretation of trial results. 在临床试验的统计分析中,常规的频率主...
The first section of the article explains the foundational ideas of Bayesian methods, and shows how those ideas already match your intuitions from everyday reasoning and research. The next sections show some simple examples of Bayesian data analysis, for you to see how the information delivered by...
Carlin BP, Louis TA: Bayesian Methods for Data Analysis. 2009, CRC Press Google Scholar Gelman A: Prior distributions for variance parameters in hierarchical models. Bayesian analysis. 2006, 1 (3): 515-533. Google Scholar Felsenstein J: Comparative methods with sampling error and within-specie...
Bayesian methods have been used extensively in statistical decision theory (seestatistics: Decision analysis). In thiscontext, Bayes’s theorem provides a mechanism for combining a prior probability distribution for the states of nature with sample information to provide a revised (posterior) probability...