Bayesian predictive model comparison via parallel sampling
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- Meyer M.C. & Laud P.W., 2002. "Predictive Variable Selection in Generalized Linear Models," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 859-871, September.
- Akaike, Hirotugu, 1981. "Likelihood of a model and information criteria," Journal of Econometrics, Elsevier, vol. 16(1), pages 3-14, May.
- Hamparsum Bozdogan, 1987. "Model selection and Akaike's Information Criterion (AIC): The general theory and its analytical extensions," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 345-370, September.
- David J. Spiegelhalter & Nicola G. Best & Bradley P. Carlin & Angelika Van Der Linde, 2002. "Bayesian measures of model complexity and fit," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 583-639, October.
- Caitlin E. Buck & Sujit K. Sahu, 2000. "Bayesian models for relative archaeological chronology building," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 49(4), pages 423-440.
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- Wheeler, David C. & Hickson, DeMarc A. & Waller, Lance A., 2010. "Assessing local model adequacy in Bayesian hierarchical models using the partitioned deviance information criterion," Computational Statistics & Data Analysis, Elsevier, vol. 54(6), pages 1657-1671, June.
- Omori, Yasuhiro & Miyawaki, Koji, 2010.
"Tobit model with covariate dependent thresholds,"
Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2736-2752, November.
- Yasuhiro Omori & Koji Miyawaki, 2008. "Tobit Model with Covariate Dependent Thresholds," CIRJE F-Series CIRJE-F-594, CIRJE, Faculty of Economics, University of Tokyo.
- László Zsolt Garamszegi & Gábor Markó & Gábor Herczeg, 2013. "A meta-analysis of correlated behaviors with implications for behavioral syndromes: relationships between particular behavioral traits," Behavioral Ecology, International Society for Behavioral Ecology, vol. 24(5), pages 1068-1080.
- C. Berrett & B. Gurney & D. Arthur & T. Moon & G. P. Williams, 2023. "A Bayesian change point modeling approach to identify local temperature changes related to urbanization," Environmetrics, John Wiley & Sons, Ltd., vol. 34(3), May.
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