Profile Likelihood for Hierarchical Models Using Data Doubling
Profile Likelihood for Hierarchical Models Using Data Doubling
In scientific problems, an appropriate statistical model often involves a large number of canonical parameters. Often times, the quantities of scientific interest are real-valued functions of these canonical parameters. Statistical inference for a specified function of the canonical parameters can be carried out via the Bayesian approach by simply using …