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Market Segmentation Using Brand Strategy Research: Bayesian Inference with Respect to Mixtures of Log-Linear Models

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  • Pascal Hattum
  • Herbert Hoijtink

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  • Pascal Hattum & Herbert Hoijtink, 2009. "Market Segmentation Using Brand Strategy Research: Bayesian Inference with Respect to Mixtures of Log-Linear Models," Journal of Classification, Springer;The Classification Society, vol. 26(3), pages 297-328, December.
    • Handle: RePEc:spr:jclass:v:26:y:2009:i:3:p:297-328
    DOI: 10.1007/s00357-009-9040-1
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    References listed on IDEAS

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    1. Herbert Hoijtink & Annelise Notenboom, 2004. "Model based clustering of large data sets: Tracing the development of spelling ability," Psychometrika, Springer;The Psychometric Society, vol. 69(3), pages 481-498, September.
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    Cited by:

    1. Chiheb-Eddine N’Cir & Nadia Essoussi & Mohamed Limam, 2015. "Kernel-Based Methods to Identify Overlapping Clusters with Linear and Nonlinear Boundaries," Journal of Classification, Springer;The Classification Society, vol. 32(2), pages 176-211, July.
    2. Matthieu Marbac & Christophe Biernacki & Vincent Vandewalle, 2016. "Latent class model with conditional dependency per modes to cluster categorical data," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 10(2), pages 183-207, June.
    3. Daniël W. Palm & L. Andries Ark & Jeroen K. Vermunt, 2016. "Divisive Latent Class Modeling as a Density Estimation Method for Categorical Data," Journal of Classification, Springer;The Classification Society, vol. 33(1), pages 52-72, April.
    4. Matthieu Marbac & Christophe Biernacki & Vincent Vandewalle, 2015. "Model-Based Clustering for Conditionally Correlated Categorical Data," Journal of Classification, Springer;The Classification Society, vol. 32(2), pages 145-175, July.

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