Bayesian programming (Q2868900)

Bayesian programming compromises a methodology, a programming language, and a set of tools for developing various tools and applications. It has many applications including modeling and robotics. The authors describe models that can be translated into a program and run on a computer. It has 17 chapters including introduction and glossary.NEWLINENEWLINEChapter 1 deals with basic concepts. The following chapters describe Incompleteness and uncertainty, Specification and identification, Conditional independence, Bayesian programming, Information fusion and Bayesian programming for coherence variables, subroutines, conditional statements, iteration, formalism and algorithms, and learning. Chapter 16 addresses frequently asked questions.NEWLINENEWLINEThe book has many worked examples backed up by an online code repository. The book provides a contibution on conceptual and methodological guidelines for model-builders. The authors discuss the problem how to build a Bayesian computer. The book has an excellent bibliography.