A new heterogeneous multidimensional unfolding procedure

DOI10.1007/s11336-012-9256-6zbMath1284.62735OpenAlexW2013389099MaRDI QIDQ418407

Joonwook Park, Priyali Rajagopal, Wayne S. Desarbo

Publication date: 29 May 2012

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11336-012-9256-6

zbMATH Keywords

heterogeneityconsumer psychologyBayesian multidimensional scalingdimension selectionmultidimensional unfolding

Mathematics Subject Classification ID

Applications of statistics to psychology (62P15)

Uses Software

• PARAFAC
• bmds
• TORSCA

Cites Work

• Nonmetric individual differences multidimensional scaling: An alternating least squares method with optimal scaling features
• A hierarchical Bayesian multidimensional scaling methodology for accommodating both structural and preference heterogeneity
• GENFOLD 2: A set of models and algorithms for the GENeral unFOLDing analysis of preference/dominance data
• Three-way metric unfolding via alternating weighted least squares
• An efficient alternating least-squares algorithm to perform multidimensional unfolding
• A Bayesian multidimensional scaling procedure for the spatial analysis of revealed choice data
• A Bayesian approach to the spatial representation of market structure from consumer choice data
• Markov chain Monte Carlo methods for stochastic volatility models.
• Avoiding degeneracy in multidimensional unfolding by penalizing on the coefficient of variation
• On metric multidimensional unfolding
• Modern multidimensional scaling. Theory and applications.
• Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis
• Nonmetric multidimensional scaling. A numerical method
• Sampling-Based Approaches to Calculating Marginal Densities
• The Calculation of Posterior Distributions by Data Augmentation
• Bayesian Variable Selection in Linear Regression
• Bayesian Multidimensional Scaling and Choice of Dimension
• Bayes Factors
• A Bayesian Vector Multidimensional Scaling Procedure for the Analysis of Ordered Preference Data
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