A Bayesian approach to the spatial representation of market structure from consumer choice data
type: Item
instance of: scholarly article
title: A Bayesian approach to the spatial representation of market structure from consumer choice data
zbMATH Open document ID: 0957.91072
DOI: 10.1016/S0377-2217(98)00150-7
author: Youngchan Kim
author: Michel Wedel
author: Duncan K. H. Fong
author: Wayne S. DeSarbo
published in: European Journal of Operational Research
publication date: 2001-03-22T00:00:00Z
review text: 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.
Mathematics Subject Classification ID: 91B72
zbMATH DE Number: 1358377
zbMATH Keywords: multidimensional scaling
zbMATH Keywords: Bayesian analysis
zbMATH Keywords: choice models
zbMATH Keywords: competitive market structure
reviewed by: Andriy Olenko
describes a project that uses: BayesDA
MaRDI profile type: Publication
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full work available at URL: s0377-2217(98)00150-7
OpenAlex ID: W1964749559
description: scientific article; zbMATH DE number 1358377