are eager to pick up these tools on the fly as all R code is provided.Bayes Rules! empowers readers to weave Bayesian approaches into their everyday practice. Discussions and applications are data driven. A natural progression from fundamental to multivariable, hierarchical models emphasizes a practical and generalizable model building process. The evaluation of these Bayesian models reflects the fact that a data analysis does not exist in a vacuum.
Features
. Utilizes data-driven examples and exercises.
. Emphasizes the iterative model building and evaluation process.
. Surveys an interconnected range of multivariable regression and classification models.
. Presents fundamental Markov chain Monte Carlo simulation.
. Integrates R code, including RStan modeling tools and the bayesrules package.
. Encourages readers to tap into their intuition and learn by doing.
. Provides a friendly and inclusive introduction to technical Bayesian concepts.
. Supports Bayesian applications with foundational Bayesian theory.
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