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The LZIP: A Bayesian latent factor model for correlated zero-inflated counts

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  • Brian Neelon
  • Dongjun Chung

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  • Brian Neelon & Dongjun Chung, 2017. "The LZIP: A Bayesian latent factor model for correlated zero-inflated counts," Biometrics, The International Biometric Society, vol. 73(1), pages 185-196, March.
    • Handle: RePEc:bla:biomet:v:73:y:2017:i:1:p:185-196
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    File URL: http://hdl.handle.net/10.1111/biom.12558
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    References listed on IDEAS

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    1. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    2. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-333, March.
    3. Majumdar Anandamayee & Gries Corinna, 2010. "Bivariate Zero-Inflated Regression for Count Data: A Bayesian Approach with Application to Plant Counts," The International Journal of Biostatistics, De Gruyter, vol. 6(1), pages 1-26, August.
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    Cited by:

    1. Wenchen Liu & Yincai Tang & Ancha Xu, 2021. "Zero-and-one-inflated Poisson regression model," Statistical Papers, Springer, vol. 62(2), pages 915-934, April.
    2. Qihuang Zhang & Grace Y. Yi, 2023. "Zero‐inflated Poisson models with measurement error in the response," Biometrics, The International Biometric Society, vol. 79(2), pages 1089-1102, June.
    3. Sunghae Jun, 2024. "Patent Keyword Analysis Using Bayesian Zero-Inflated Model and Text Mining," Stats, MDPI, vol. 7(3), pages 1-15, August.

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