Data Analysis: A Bayesian Tutorial Devinderjit Sivia, John Skilling
Publisher: Oxford University Press, USA

John Krushke wrote a book called Doing Bayesian Data Analysis: A Tutorial with R and BUGS. ChIP-Seq: ChIP-Seq Data 0, 12-02-2011 04:51 AM. For a shorter introduction try Sivia' book: Data analysis – A Bayesian tutorial. Formulate our expectations about the halo positions before looking at the data. ChIP-Seq: A fully Bayesian hidden Ising model for ChIP-seq data analysis. Guide/tutorial for the analysis of RNA-seq data, MDY, Bioinformatics, 69, 12-12-2012 09:04 PM. The book is widely used by undergraduate students of physical sciences and cited by peers and colleagues of this field. On basic Bayesian statistics, jsalvatier recommends Skilling & Sivia's Data Analysis: A Bayesian Tutorial over Gelman's Bayesian Data Analysis, Bolstad's Bayesian Statistics, and Robert's The Bayesian Choice. Stan has all the generality and ease of use of BUGS, and can solve the multilevel generalized linear models described in Part II of the book Data Analysis Using Regression and Multilevel/Hierarchical Models. Bernardo and Smith's 1994 book Bayesian Theory is perhaps most comprehensive, but quite mathematical. The topic of data analysis is essential for researchers, specially for those with an experimental mentality. Well, I have recently started reading a book titled “Data Analysis: A Bayesian Tutorial”. His best-known work is Data Analysis: A Bayesian Tutorial published in 1996. Bayesian analysis provided the winning recipe for solving this problem: Construct a prior distribution for the halo positions p(x) , i.e. Recently, hierarchical Bayesian methods have been applied to data analysis [3].