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A Generalized Discriminant Rule When Training Population and Test Population Differ on Their Descriptive Parameters

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  • Christophe Biernacki
  • Farid Beninel
  • Vincent Bretagnolle

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  • Christophe Biernacki & Farid Beninel & Vincent Bretagnolle, 2002. "A Generalized Discriminant Rule When Training Population and Test Population Differ on Their Descriptive Parameters," Biometrics, The International Biometric Society, vol. 58(2), pages 387-397, June.
    • Handle: RePEc:bla:biomet:v:58:y:2002:i:2:p:387-397
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2002.00387.x
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    1. Unknown, 1986. "Letters," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 1(4), pages 1-9.
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    1. Vandewalle, Vincent & Biernacki, Christophe & Celeux, Gilles & Govaert, Gérard, 2013. "A predictive deviance criterion for selecting a generative model in semi-supervised classification," Computational Statistics & Data Analysis, Elsevier, vol. 64(C), pages 220-236.
    2. Hofer, Vera, 2015. "Adapting a classification rule to local and global shift when only unlabelled data are available," European Journal of Operational Research, Elsevier, vol. 243(1), pages 177-189.
    3. Hasnat, Md. Abul & Velcin, Julien & Bonnevay, Stephane & Jacques, Julien, 2017. "Evolutionary clustering for categorical data using parametric links among multinomial mixture models," Econometrics and Statistics, Elsevier, vol. 3(C), pages 141-159.
    4. Biernacki, Christophe & Celeux, Gilles & Govaert, Gerard & Langrognet, Florent, 2006. "Model-based cluster and discriminant analysis with the MIXMOD software," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 587-600, November.

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