A Variant of AIC Based on the Bayesian Marginal Likelihood

[1]  Xiaofang Xu,et al.  Bayesian Variable Selection and Estimation for Group Lasso , 2015, 1512.01013.

[2]  R. O’Hara,et al.  A review of Bayesian variable selection methods: what, how and which , 2009 .

[3]  Tatsuya Kubokawa,et al.  Conditional information criteria for selecting variables in linear mixed models , 2008, J. Multivar. Anal..

[4]  T. Ando Bayesian predictive information criterion for the evaluation of hierarchical Bayesian and empirical Bayes models , 2007 .

[5]  G. Casella,et al.  Objective Bayesian Variable Selection , 2006 .

[6]  F. Vaida,et al.  Conditional Akaike information for mixed-effects models , 2005 .

[7]  Bradley P. Carlin,et al.  Bayesian measures of model complexity and fit , 2002 .

[8]  Chih-Ling Tsai,et al.  Regression model selection—a residual likelihood approach , 2002 .

[9]  C. Mallows Some Comments on Cp , 2000, Technometrics.

[10]  E. George,et al.  APPROACHES FOR BAYESIAN VARIABLE SELECTION , 1997 .

[11]  J. Berger,et al.  The Intrinsic Bayes Factor for Model Selection and Prediction , 1996 .

[12]  C. Mallows More comments on C p , 1995 .

[13]  J. Rao,et al.  The estimation of the mean squared error of small-area estimators , 1990 .

[14]  Clifford M. Hurvich,et al.  Regression and time series model selection in small samples , 1989 .

[15]  Rachel M. Harter,et al.  An Error-Components Model for Prediction of County Crop Areas Using Survey and Satellite Data , 1988 .

[16]  H. Bozdogan Model selection and Akaike's Information Criterion (AIC): The general theory and its analytical extensions , 1987 .

[17]  R. Nishii Asymptotic Properties of Criteria for Selection of Variables in Multiple Regression , 1984 .

[18]  R. Shibata An optimal selection of regression variables , 1981 .

[19]  S. Fienberg,et al.  An Exponential Family of Probability Distributions for Directed Graphs: Comment , 1981 .

[20]  Hirotugu Akaike,et al.  On the use of the predictive likelihood of a Gaussian model , 1980 .

[21]  Hirotugu Akaike,et al.  Likelihood and the Bayes procedure , 1980 .

[22]  G. Schwarz Estimating the Dimension of a Model , 1978 .

[23]  H. Akaike A new look at the statistical model identification , 1974 .

[24]  H. D. Patterson,et al.  Recovery of inter-block information when block sizes are unequal , 1971 .

[25]  J. Beale "That" and "Which." , 1870 .

[26]  B. Mallick VARIABLE SELECTION FOR REGRESSION MODELS , 2016 .

[27]  Robin Thompson,et al.  Estimation of genetic parameters. , 2005 .

[28]  A. Rao,et al.  Estimation of Genetic Parameters: principles , 2003 .

[29]  P. Dellaportas,et al.  On Bayesian model and variable selection using MCMC , 2002, Stat. Comput..

[30]  J. Shao AN ASYMPTOTIC THEORY FOR LINEAR MODEL SELECTION , 1997 .

[31]  Kitagawa Genshiro,et al.  Information criteria for the predictive evaluation of bayesian models , 1997 .

[32]  R. Tibshirani Regression Shrinkage and Selection via the Lasso , 1996 .

[33]  B. D. Finetti,et al.  Bayesian inference and decision techniques : essays in honor of Bruno de Finetti , 1986 .

[34]  N. Sugiura Further analysts of the data by akaike' s information criterion and the finite corrections , 1978 .

[35]  H. Akaike,et al.  Information Theory and an Extension of the Maximum Likelihood Principle , 1973 .

[36]  C. L. Mallows Some comments on C_p , 1973 .