A Bayesian approach to the spatial representation of market structure from consumer choice data
A new multidimensional scaling methodology for the spatial representation of market structure, based on stated preference data is proposed. The authors use Bayesian approach. They use the Metropolis-Hastings algorithm for estimation. Convergence and selection of the number of dimension are discussed. Application of the method to a portable telephone survey is given. A number of areas of future research are identified.
scientific article; zbMATH DE number 1358377
scientific article