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Identifiablity of Models for Clusterwise Linear Regression

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The model choice and the interpretation of the parameters are discussed as well as the use of the identifiability concept for fixed partition models. The concept is generalized to "partial identifiability".

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  1. Fachbereich Mathematik - SPST, Universitä Hamburg, , , , ,

    C. Hennig

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  1. C. Hennig
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Hennig, C. Identifiablity of Models for Clusterwise Linear Regression. J. of Classification 17, 273–296 (2000). https://doi.org/10.1007/s003570000022

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  • DOI: https://doi.org/10.1007/s003570000022

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