Prior elicitation for mixed quantile regression with an allometric model

In this paper, we introduced methods for conducting Bayesian quantile analysis of an allometric model that included random effects, with the primary goal of estimating quantiles of the length-weight relationship of fish data. We developed prior elicitation schemes to incorporate historical information into the analysis of current data. We proposed Gibbs sampler methods to facilitate Bayesian computation and provided detailed implementation schemes. We applied our methods to analyze data of walleye Sander vitreus and white bass Morone chrysops in Lake McConaughy, Nebraska. Copyright (C) 2011 John Wiley & Sons, Ltd.