Apologies for cross-posting. Places are available in the following course: "Introduction to Bayesian Data Analysis using WinBUGS and R"
Best Regards, Pablo ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Course: Introduction to Bayesian Data Analysis using WinBUGS and R Where: Linux Hotel, Essen-Horst, Germany http://www.linuxhotel.de/kurs/bayesian-analysis-using-R-and-WinBUGS/index.html When: 23th - 25th March, 2010 Instructor: Dr. Pablo E. Verde ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ *Target audience* This course is for data analyst who are familiar with classical statistics and they want to get a working knowledge in Bayesian analysis. This is a 3 days intensive training course with 8 hours per day including lectures and exercises. The course presentation is practical with many worked examples. Lectures are given in English. Discussions can be in German and Spanish. ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Day 1 * Introduction to modern Bayesian inference * Introduction to Bayesian statistics with R * Simple Bayesian statistical models. * Introduction to WinBUGS * MCMC computations * The role of prior distributions in Bayesian inference Day 2 * Bayesian analysis of multi-parameter models * Bayesian analysis of the linear statistical model * Bayesian analysis of non-linear models * Bayesian analysis of the Generalized Linear Model * Statistical modeling issues Day 3 * Introduction to Hierarchical Modeling * Examples in hierarchical modeling * Own projects ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Costs: Public sector and commercial: 1088,85 Euros all-inclusive (three days course + full pension inclusive). Reduction rates are applied to students, please contact: i...@linuxhotel.de ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
