Bayesian Inferences on Umbrella Orderings
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- Shyamal D. Peddada & Katherine E. Prescott & Mark Conaway, 2001. "Tests for Order Restrictions in Binary Data," Biometrics, The International Biometric Society, vol. 57(4), pages 1219-1227, December.
- David B. Dunson & Amy H. Herring, 2003. "Bayesian Inferences in the Cox Model for Order-Restricted Hypotheses," Biometrics, The International Biometric Society, vol. 59(4), pages 916-923, December.
- 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.
- Alan Gelfand & Athanasios Kottas, 2001. "Nonparametric Bayesian Modeling for Stochastic Order," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 53(4), pages 865-876, December.
- Brian Neelon & David B. Dunson, 2004. "Bayesian Isotonic Regression and Trend Analysis," Biometrics, The International Biometric Society, vol. 60(2), pages 398-406, June.
- 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.
- Peter D. Hoff, 2003. "Bayesian methods for partial stochastic orderings," Biometrika, Biometrika Trust, vol. 90(2), pages 303-317, June.
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Cited by:
- Nashimoto, Kane & Wright, F.T., 2008. "Bayesian multiple comparisons of simply ordered means using priors with a point mass," Computational Statistics & Data Analysis, Elsevier, vol. 52(12), pages 5143-5153, August.
- Lianming Wang & David B. Dunson, 2010. "Semiparametric Bayes Multiple Testing: Applications to Tumor Data," Biometrics, The International Biometric Society, vol. 66(2), pages 493-501, June.
- Boulesteix, Anne-Laure & Strobl, Carolin, 2007. "Maximally selected Chi-squared statistics and non-monotonic associations: An exact approach based on two cutpoints," Computational Statistics & Data Analysis, Elsevier, vol. 51(12), pages 6295-6306, August.
- Michael L. Pennell & David B. Dunson, 2008. "Nonparametric Bayes Testing of Changes in a Response Distribution with an Ordinal Predictor," Biometrics, The International Biometric Society, vol. 64(2), pages 413-423, June.
- Kiatsupaibul, Seksan & J. Hayter, Anthony & Liu, Wei, 2017. "Rank constrained distribution and moment computations," Computational Statistics & Data Analysis, Elsevier, vol. 105(C), pages 229-242.
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