An introduction to Bayesian inference in econometrics An introduction to Bayesian inference in econometrics An introduction to Bayesian inference in econometrics
Table of Contents An Introduction to R Introduction to Bayesian Thinking Single-Parameter Models Multiparameter Models Introduction to Bayesian Computation Markov Chain Monte Carlo Methods Hierarchical Modeling Model Comparison Regression Models Gib
Product Descr iption Probabilistic networks, also known as Bayesian networks and influence diagrams, have become one of the most promising technologies in the area of applied artificial intelligence, offering intuitive, efficient, and reliable metho
Bayesian methods are increasingly becoming attractive to researchers in many fields. Econometrics, however, is a field in which Bayesian methods have had relatively less influence. A key reason for this absence is the lack of a suitable advanced und
Table of Contents 1. An Introduction to R 2. Introduction to Bayesian Thinking 3. Single-Parameter Models 4. Multiparameter Models 5. Introduction to Bayesian Computation 6. Markov Chain Monte Carlo Methods 7. Hierarchical Modeling 8. Model Comparis
