Welcome to the Library Guide for Bayesian Statistics. It will help you to locate key resources regarding to your subject.
The student will gain an appreciation of the importance of conditional independence in subjective (Bayesian) statistical modeling. The student will be provided with techniques for eliciting quantitative preference structures from a client which may involve competing objectives. The student will obtain an appreciation of the foundational arguments that justify expected utility maximization as a paradigm for rational action. The student will obtain practice in implementing these techniques.
