Using Bayesian networks to create synthetic data
暂无分享，去创建一个
[1] William E. Winkler,et al. Bayesian Networks Representations, Generalized Imputation, and Synthetic Micro-data Satisfying Analytic Constraints , 2002 .
[2] C. Morris,et al. Hierarchical Poisson Regression Modeling , 1997 .
[3] A. Agresti,et al. Categorical Data Analysis , 1991, International Encyclopedia of Statistical Science.
[4] Richard E. Neapolitan,et al. Learning Bayesian networks , 2007, KDD '07.
[5] D. Madigan,et al. Model Selection and Accounting for Model Uncertainty in Graphical Models Using Occam's Window , 1994 .
[6] Donald B. Rubin,et al. Avoiding Model Selection in Bayesian Social Research , 1995 .
[7] M. Scanu,et al. Bayesian networks for imputation , 2004 .
[8] Claus Dethlefsen,et al. deal: A Package for Learning Bayesian Networks , 2003 .
[9] David J. Spiegelhalter,et al. Probabilistic Networks and Expert Systems , 1999, Information Science and Statistics.
[10] R. Kass. Bayes Factors in Practice , 1993 .
[11] Finn V. Jensen,et al. Bayesian Networks and Decision Graphs , 2001, Statistics for Engineering and Information Science.
[12] Jerome P. Reiter,et al. Releasing multiply imputed, synthetic public use microdata: an illustration and empirical study , 2005 .