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Bayesian Inference on Order-Constrained Parameters in Generalized Linear Models

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  • David B. Dunson
  • Brian Neelon

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  • David B. Dunson & Brian Neelon, 2003. "Bayesian Inference on Order-Constrained Parameters in Generalized Linear Models," Biometrics, The International Biometric Society, vol. 59(2), pages 286-295, June.
    • Handle: RePEc:bla:biomet:v:59:y:2003:i:2:p:286-295
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    File URL: http://hdl.handle.net/10.1111/1541-0420.00035
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    References listed on IDEAS

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    1. James H. Albert, 1994. "A Bayesian Approach to Estimation of GPAs of University of Iowa Freshmen Under Order Restrictions," Journal of Educational and Behavioral Statistics, , vol. 19(1), pages 1-21, March.
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    Cited by:

    1. Margarita I. Cigarán-Méndez & Oscar J. Pellicer-Valero & José D. Martín-Guerrero & Umut Varol & César Fernández-de-las-Peñas & Esperanza Navarro-Pardo & Juan A. Valera-Calero, 2022. "Bayesian Linear Regressions Applied to Fibromyalgia Syndrome for Understanding the Complexity of This Disorder," IJERPH, MDPI, vol. 19(8), pages 1-12, April.
    2. Chris Hans & David B. Dunson, 2005. "Bayesian Inferences on Umbrella Orderings," Biometrics, The International Biometric Society, vol. 61(4), pages 1018-1026, December.
    3. Rufibach, Kaspar, 2010. "An active set algorithm to estimate parameters in generalized linear models with ordered predictors," Computational Statistics & Data Analysis, Elsevier, vol. 54(6), pages 1442-1456, June.
    4. Oh, Man-Suk & Shin, Dong Wan, 2011. "A unified Bayesian inference on treatment means with order constraints," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 924-934, January.
    5. Bogomolov, Marina & Davidov, Ori, 2019. "Order restricted univariate and multivariate inference with adjustment for covariates in partially linear models," Computational Statistics & Data Analysis, Elsevier, vol. 133(C), pages 20-27.
    6. Banerjee, Moulinath & Mukherjee, Debasri & Mishra, Santosh, 2009. "Semiparametric binary regression models under shape constraints with an application to Indian schooling data," Journal of Econometrics, Elsevier, vol. 149(2), pages 101-117, April.
    7. Ghosal, Rahul & Ghosh, Sujit K., 2022. "Bayesian inference for generalized linear model with linear inequality constraints," Computational Statistics & Data Analysis, Elsevier, vol. 166(C).
    8. Bo Cai & David B. Dunson, 2006. "Bayesian Covariance Selection in Generalized Linear Mixed Models," Biometrics, The International Biometric Society, vol. 62(2), pages 446-457, June.
    9. Guosheng Yin & Joseph G. Ibrahim, 2005. "A Class of Bayesian Shared Gamma Frailty Models with Multivariate Failure Time Data," Biometrics, The International Biometric Society, vol. 61(1), pages 208-216, March.
    10. Lee, Kwangmin & Lee, Jaeyong, 2023. "Post-processed posteriors for sparse covariances," Journal of Econometrics, Elsevier, vol. 236(1).
    11. B. Nebiyou Bekele & Yisheng Li & Yuan Ji, 2010. "Risk-Group-Specific Dose Finding Based on an Average Toxicity Score," Biometrics, The International Biometric Society, vol. 66(2), pages 541-548, June.

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