Mon premier blog

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

I used the 2006 AL position player data (given in this previous blog post). Sivia, while wandering about the campus book store at UC Irvine. Clustering A tutorial on support vector regression. Naive Bayes Predictor - Uses the naive Bayes model from the naive Bayes learner to predict the class membership of each row in the input data. Each entry describes shortly the subject, it is followed by the link to the tutorial (pdf) and the dataset. Core KNIME features include: .. One key behind the success of KNIME is its inherent modular workflow approach, which documents and stores the analysis process in the order it was conceived and implemented, while ensuring that intermediate results are always available. This Web log maintains an alternative layout of the tutorials about Tanagra. 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. Tanagra - Data Mining Tutorials. My journey into Bayes land began with the discovery of this paperback, Data Analysis: A Bayesian Tutorial (Oxford Science Publications), by D.S. Finally, I realized I'd meant “ability” where I'd said “average” (former is a latent parameter, latter is a statistic calculated from at bats), when I considered Bayesian point estimates (Bayesian Estimators for the Beta-Binomial Model of Batting Ability). (Moment Matching for Empirical Bayes Beta Priors for Batting Averages).