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Bayesian Adaptive Regression Splines for Hierarchical Data

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  • Jamie L. Bigelow
  • David B. Dunson

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  • Jamie L. Bigelow & David B. Dunson, 2007. "Bayesian Adaptive Regression Splines for Hierarchical Data," Biometrics, The International Biometric Society, vol. 63(3), pages 724-732, September.
    • Handle: RePEc:bla:biomet:v:63:y:2007:i:3:p:724-732
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2007.00761.x
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    References listed on IDEAS

    as
    1. Lyndia C. Brumback & Mary J. Lindstrom, 2004. "Self Modeling with Flexible, Random Time Transformations," Biometrics, The International Biometric Society, vol. 60(2), pages 461-470, June.
    2. Morris, Jeffrey S. & Vannucci, Marina & Brown, Philip J. & Carroll, Raymond J., 2003. "Wavelet-Based Nonparametric Modeling of Hierarchical Functions in Colon Carcinogenesis," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 573-583, January.
    3. Claudio J. Verzilli & John C. Whittaker & Nigel Stallard & Daniel Chasman, 2005. "A hierarchical Bayesian model for predicting the functional consequences of amino‐acid polymorphisms," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 54(1), pages 191-206, January.
    4. C. C. Holmes & B. K. Mallick, 2001. "Bayesian regression with multivariate linear splines," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 63(1), pages 3-17.
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    Citations

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    Cited by:

    1. Bruno Scarpa & David B. Dunson, 2009. "Bayesian Hierarchical Functional Data Analysis Via Contaminated Informative Priors," Biometrics, The International Biometric Society, vol. 65(3), pages 772-780, September.
    2. Shashank Vaid & Michael Ahearne & Ryan Krause, 2021. "Operations‐Related Structural Flux: Firm Performance Effects of Executives’ Appointments and Exits," Production and Operations Management, Production and Operations Management Society, vol. 30(7), pages 2188-2210, July.
    3. Mukhoti, Sujay & Guhathakurta, Kousik, 2015. "Product market performance and capital structure: A Hierarchical Bayesian semi-parametric panel regression model," MPRA Paper 62517, University Library of Munich, Germany.
    4. Botts, Carsten H. & Daniels, Michael J., 2008. "A flexible approach to Bayesian multiple curve fitting," Computational Statistics & Data Analysis, Elsevier, vol. 52(12), pages 5100-5120, August.
    5. Bruno Scarpa & David B. Dunson, 2014. "Enriched Stick-Breaking Processes for Functional Data," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(506), pages 647-660, June.

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