Flexible Bayesian Regression Modeling is a step-by-step guide to the Bayesian revolution in Regression modeling, for use in advanced econometric and statistical analysis where datasets are characterized by complexity, multiplicity, and large sample sizes, necessitating the need for considerable flexibility in modeling techniques.
It reviews three forms of flexibility: methods which provide flexibility in their error distribution; methods which model non-central parts of the distribu.
Flexible Bayesian Regression Modeling is a step-by-step guide to the Bayesian revolution in Regression modeling, for use in advanced econometric and statistical analysis where datasets are characterized by complexity, multiplicity, and large sample sizes, necessitating the need for considerable flexibility in modeling techniques
