Authors:
Gelman, Andrew
Dyk, David A van
Huang, Zaiying
Boscardin, John W
Citation: Gelman, Andrew et al., Using redundant parameterizations to fit hierarchical models, Journal of computational and graphical statistics , 17(1), 2008, pp. 95-122
Citation: Gelman, Andrew et B. Carlin, John, [Backcalculation of HIV Infection Rates]: Comment: Assessing Uncertainty in Backprojection, Statistical science , 35(2), 2020, pp. 104-106
Citation: Gelman, Andrew et Meng, Xiao-li, A Note on Bivariate Distributions That are Conditionally Normal, American statistician , 45(2), 1991, pp. 125-126
Citation: Gelman, Andrew, The boxer, the wrestler, and the coin flip: A paradox of robust bayesian inference and belief functions, American statistician , 60(2), 2006, pp. 146-150
Citation: Gelman, Andrew et Stern, Hal, The difference between "significant" and "not significant" is not itself statistically significant, American statistician , 60(4), 2006, pp. 328-331
Citation: Gelman, Andrew et B. Rubin, Donald, Inference from Iterative Simulation Using Multiple Sequences, Statistical science , 7(4), 1992, pp. 457-472
Citation: Gelman, Andrew et B. Rubin, Donald, [Practical Markov Chain Monte Carlo]: Rejoinder: Replication without Contrition, Statistical science , 7(4), 1992, pp. 503-511
Authors:
Cook, Samantha R.
Gelman, Andrew
Rubin, Donald B.
Citation: R. Cook, Samantha et al., Validation of software for bayesian models using posterior quantiles, Journal of computational and graphical statistics , 15(3), 2006, pp. 675-692