(2008). Bayesian Methods for Data Analysis, Third Edition. Boca Raton, FL: Chapman and Hall/CRC.Carlin B, Louis T (2008) Bayesian Methods for Data Analysis, Third Edition. CRCCarlin B, Louis T (2011). Bayesian Methods for Data Analysis, Third Edition. Chapman & Hall/CRC Texts in ...
Texts in Statistical Science(共72册),这套丛书还有 《Fundamentals of Mathematical Statistics》《Epidemiology》《Understanding Advanced Statistical Methods》《Introduction to General and Generalized Linear Models》《Statistical Machine Learning: A Unified Framework》等。 我来说两句 短评 ··· ( 全部2 条...
1. What to believe: Bayesian methods for data analysis. [J] . Kruschke JK Trends in cognitive sciences . 2010,第7期 机译:可信度:数据分析的贝叶斯方法。 2. What to believe: Bayesian methods for data analysis. [J] . Kruschke JK Trends in cognitive sciences . 2010,第7期 机译:相信的...
progressive experiments. 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...
What to believe: Bayesian methods for data analysis Although Bayesian models of mind have attracted great interest from cognitive scientists, Bayesian methods for data analysis have not. This article reviews... JK Kruschke - 《Trends in Cognitive Sciences》 被引量: 328发表: 2010年 Antipsychotics, ...
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. ...
Inferences from multilevel models can be complicated in small samples or complex data structures. When using (restricted) maximum likelihood methods to estimate multilevel models, standard errors and degrees of freedom often need to be adjusted to ensure that inferences for fixed effects are correct....
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...
Review of Bayesian methods for data analysis, third edition.Kaplan, David
p pBackground/p pWith the growing abundance of microarray data, statistical methods are increasingly needed to integrate results across studies. Two common approaches for meta-analysis of microarrays include either combining gene expression measures across studies or combining summaries such as p-values...