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Bayesian inference for finite mixtures of generalized linear models with random effects

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  • Peter Lenk
  • Wayne DeSarbo

Abstract

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Suggested Citation

  • Peter Lenk & Wayne DeSarbo, 2000. "Bayesian inference for finite mixtures of generalized linear models with random effects," Psychometrika, Springer;The Psychometric Society, vol. 65(1), pages 93-119, March.
    • Handle: RePEc:spr:psycho:v:65:y:2000:i:1:p:93-119
    DOI: 10.1007/BF02294188
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    References listed on IDEAS

    as
    1. Geert Soete & Wayne DeSarbo, 1991. "A latent class probit model for analyzing pick any/N data," Journal of Classification, Springer;The Classification Society, vol. 8(1), pages 45-63, January.
    2. Michel Wedel & Wayne DeSarbo, 1995. "A mixture likelihood approach for generalized linear models," Journal of Classification, Springer;The Classification Society, vol. 12(1), pages 21-55, March.
    3. Wagner Kamakura, 1991. "Estimating flexible distributions of ideal-points with external analysis of preferences," Psychometrika, Springer;The Psychometric Society, vol. 56(3), pages 419-431, September.
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