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Parameterization and Bayesian Modeling

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  • Gelman A.

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  • Gelman A., 2004. "Parameterization and Bayesian Modeling," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 537-545, January.
    • Handle: RePEc:bes:jnlasa:v:99:y:2004:p:537-545
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    Cited by:

    1. Lee, Gyemin & Scott, Clayton, 2012. "EM algorithms for multivariate Gaussian mixture models with truncated and censored data," Computational Statistics & Data Analysis, Elsevier, vol. 56(9), pages 2816-2829.
    2. Olawale Awe O. & Adedayo Adepoju A., 2018. "Modified Recursive Bayesian Algorithm For Estimating Time-Varying Parameters In Dynamic Linear Models," Statistics in Transition New Series, Statistics Poland, vol. 19(2), pages 258-293, June.
    3. Leonardo Oliveira Martins & Hirohisa Kishino, 2010. "Distribution of distances between topologies and its effect on detection of phylogenetic recombination," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 62(1), pages 145-159, February.
    4. Breitwieser, Anja & Wick, Katharina, 2016. "What We Miss By Missing Data: Aid Effectiveness Revisited," World Development, Elsevier, vol. 78(C), pages 554-571.
    5. Kuo, Kun-Lin & Wang, Yuchung J., 2018. "Simulating conditionally specified models," Journal of Multivariate Analysis, Elsevier, vol. 167(C), pages 171-180.
    6. O. Olawale Awe & A. Adedayo Adepoju, 2018. "Modified Recursive Bayesian Algorithm For Estimating Time-Varying Parameters In Dynamic Linear Models," Statistics in Transition New Series, Polish Statistical Association, vol. 19(2), pages 239-258, June.
    7. Matthew Carli & Mary H. Ward & Catherine Metayer & David C. Wheeler, 2022. "Imputation of Below Detection Limit Missing Data in Chemical Mixture Analysis with Bayesian Group Index Regression," IJERPH, MDPI, vol. 19(3), pages 1-17, January.
    8. Faisal Maqbool Zahid & Shahla Faisal & Christian Heumann, 2020. "Variable selection techniques after multiple imputation in high-dimensional data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 29(3), pages 553-580, September.
    9. Dejing Kong & Lirong Cui, 2016. "Bayesian inference of multi-stage reliability for degradation systems with calibrations," Journal of Risk and Reliability, , vol. 230(1), pages 18-33, February.
    10. Mingyuan Chen & Dakshina De Silva & Aurelie Slechten, 2021. "Director appointments, boardroom networks, and firm environmental performance," Working Papers 332157256, Lancaster University Management School, Economics Department.
    11. Yang, Mingan & Dunson, David B. & Baird, Donna, 2010. "Semiparametric Bayes hierarchical models with mean and variance constraints," Computational Statistics & Data Analysis, Elsevier, vol. 54(9), pages 2172-2186, September.
    12. Vinny Davies & Richard Reeve & William T. Harvey & Francois F. Maree & Dirk Husmeier, 2017. "A sparse hierarchical Bayesian model for detecting relevant antigenic sites in virus evolution," Computational Statistics, Springer, vol. 32(3), pages 803-843, September.
    13. Qian, Song S., 2012. "On model coefficient estimation using Markov chain Monte Carlo simulations: A potential problem and the solution," Ecological Modelling, Elsevier, vol. 247(C), pages 302-306.
    14. Jordan Douglas & Rong Zhang & Remco Bouckaert, 2021. "Adaptive dating and fast proposals: Revisiting the phylogenetic relaxed clock model," PLOS Computational Biology, Public Library of Science, vol. 17(2), pages 1-30, February.
    15. Andrew Gelman, 2004. "Prior distributions for variance parameters in hierarchical models," EERI Research Paper Series EERI_RP_2004_06, Economics and Econometrics Research Institute (EERI), Brussels.
    16. Anja Breitwieser & Katharina Wick, 2013. "What We Miss By Missing Data: Aid Effectiveness Revisited," Vienna Economics Papers vie1302, University of Vienna, Department of Economics.
    17. Andrew Gelman, 2004. "Prior distributions for variance parameters in hierarchical models," Econometrics 0404001, University Library of Munich, Germany.

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