Market segmentation using brand strategy research: Bayesian inference with respect to mixtures of log-linear models

DOI10.1007/s00357-009-9040-1zbMath1337.62144OpenAlexW1997589961MaRDI QIDQ263097

Pascal van Hattum, Herbert Hoijtink

Publication date: 4 April 2016

Published in: Journal of Classification (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00357-009-9040-1

zbMATH Keywords

missing dataMarkov chain Monte Carlo methodsBayesian computational statisticsbrand strategy researchlog-linear modelingmarket segmentationmodel based clustering

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (5)

Model-based clustering for conditionally correlated categorical data ⋮ Kernel-based methods to identify overlapping clusters with linear and nonlinear boundaries ⋮ Divisive latent class modeling as a density estimation method for categorical data ⋮ Latent class model with conditional dependency per modes to cluster categorical data ⋮ Model-based clustering of Gaussian copulas for mixed data

Uses Software

• BayesDA
• Latent GOLD

Cites Work

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• How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis
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• Dealing With Label Switching in Mixture Models

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