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

@Luis, I think Data Analysis: A Bayesian Tutorial (http://www.amazon.com/Data-Analysis-Bayesian-Tutorial-Publications/dp/0198518897) is just such a book. Our lab conference table is currently hosting a Bayesian data analysis / programming in R learning group. An extreme example like this illustrates that the new data you get from the mammography test does not replace the data you had at the outset about how improbable it was that the woman had breast cancer. Instead Bayesian data analysis and Bayes in decision theory. Naively speaking, astronomical papers discussing Bayesian analysis mainly serve as Bayesian analysis tutorials in the astronomical subfields of authors' expertise. These papers introduce Bayesian analysis They describe well known algorithms such as gibbs sampler, Metropolis-Hasting algorithm, Metropolis algorithms, important sampling, nested sampling, and so forth, and their applications in the astronomical data analysis. Org/~pf/p4.html -- Python package for phylogenetics, useful for programmatic manipulation of phylogenetic data and trees, including maximum likelihood and Bayesian inference. No, the goal of the tutorial below is to give you a true understanding of Bayes' Theorem so that can apply it correctly in the complexities of real life that exist beyond the exam sheet. Python Data Analysis Library - http://pandas.pydata.org/ - pandas is a library providing high-performance, easy-to-use data structures and data analysis tools for the Python . Doing Bayesian Data Analysis: A Tutorial with R and BUGS by John K. And C#, with Python and IronPython interfaces.