Controlling the Level of Separation of Components in Monte Carlo Studies of Latent Class Models

  • Dias J
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Abstract

The paper proposes a new method to control the level of separation of components using a single parameter. An illustration for the latent class model (mixture of conditionally independent multinomial distributions) is provided. Further extensions to other finite mixture models are discussed.

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Dias, J. G. (2004). Controlling the Level of Separation of Components in Monte Carlo Studies of Latent Class Models. In Classification, Clustering, and Data Mining Applications (pp. 77–84). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-17103-1_9

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