Bayesian multi- and matrix-variate modelling: Graphical models and time series
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[1] J. Hobert,et al. A theoretical comparison of the data augmentation, marginal augmentation and PX-DA algorithms , 2008, 0804.0671.
[2] Jeff Harrison,et al. Applied Bayesian Forecasting and Time Series Analysis , 1994 .
[3] Matthew West,et al. Bayesian factor regression models in the''large p , 2003 .
[4] Siddhartha Chib,et al. Hierarchical analysis of SUR models with extensions to correlated serial errors and time-varying parameter models☆ , 1995 .
[5] J. M. Hammersley,et al. Markov fields on finite graphs and lattices , 1971 .
[6] A. Gelman. Parameterization and Bayesian Modeling , 2004 .
[7] M. West,et al. Simulation of hyper-inverse Wishart distributions in graphical models , 2007 .
[8] A. Zellner. An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias , 1962 .
[9] R. Kohn,et al. Efficient estimation of covariance selection models , 2003 .
[10] D. Dunson,et al. Random Effects Selection in Linear Mixed Models , 2003, Biometrics.
[11] V. K. Srivastava,et al. Seemingly unrelated regression equations models : estimation and inference , 1987 .
[12] W. Sharpe. CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK* , 1964 .
[13] G. Reinsel,et al. Multivariate Reduced-Rank Regression: Theory and Applications , 1998 .
[14] James G. Scott,et al. Objective Bayesian model selection in Gaussian graphical models , 2009 .
[15] Daren E. Miller. Mutual Fund Performance and Seemingly Unrelated Assets , 2002 .
[16] Dongchu Sun,et al. Bayesian stochastic search for VAR model restrictions , 2008 .
[17] Andrzej T. Galecki,et al. General class of covariance structures for two or more repeated factors in longitudinal data analysis , 1994 .
[18] S. Chib. Marginal Likelihood from the Gibbs Output , 1995 .
[19] Marc G. Genton,et al. Testing for separability of space–time covariances , 2005 .
[20] Jun S. Liu,et al. Parameter Expansion for Data Augmentation , 1999 .
[21] M. West,et al. Sparse graphical models for exploring gene expression data , 2004 .
[22] Carlos M. Carvalho,et al. FLEXIBLE COVARIANCE ESTIMATION IN GRAPHICAL GAUSSIAN MODELS , 2008, 0901.3267.
[23] M. Srivastava,et al. Models with a Kronecker product covariance structure: Estimation and testing , 2008 .
[24] Michael A. West,et al. BAYESIAN MODEL ASSESSMENT IN FACTOR ANALYSIS , 2004 .
[25] A. Stuart,et al. Portfolio Selection: Efficient Diversification of Investments , 1959 .
[26] Richard Roll,et al. The Fiscal and Monetary Linkage between Stock Returns and Inflation , 1983 .
[27] M. Genton,et al. A likelihood ratio test for separability of covariances , 2006 .
[28] T. Fearn,et al. Multivariate Bayesian variable selection and prediction , 1998 .
[29] G. Kapetanios,et al. Forecasting Large Datasets with Bayesian Reduced Rank Multivariate Models , 2009 .
[30] J. Lintner. THE VALUATION OF RISK ASSETS AND THE SELECTION OF RISKY INVESTMENTS IN STOCK PORTFOLIOS AND CAPITAL BUDGETS , 1965 .
[31] A. Gelman. Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper) , 2004 .
[32] D. Zimmerman,et al. The likelihood ratio test for a separable covariance matrix , 2005 .
[33] Erricos John Kontoghiorghes,et al. An alternative approach for the numerical solution of seemingly unrelated regression equations models , 1995 .
[34] Paolo Giudici,et al. Improving Markov Chain Monte Carlo Model Search for Data Mining , 2004, Machine Learning.
[35] Michael A. West,et al. Dynamic Matrix-Variate Graphical Models - A Synopsis 1 - , 2006 .
[36] M. West,et al. Bayesian analysis of matrix normal graphical models. , 2009, Biometrika.
[37] T. W. Anderson. Estimating Linear Restrictions on Regression Coefficients for Multivariate Normal Distributions , 1951 .
[38] M. Pourahmadi,et al. Bayesian analysis of covariance matrices and dynamic models for longitudinal data , 2002 .
[39] Michael A. West,et al. Dynamic matrix-variate graphical models , 2007 .
[40] Peter E. Rossi,et al. A Bayesian analysis of the multinomial probit model with fully identified parameters , 2000 .
[41] J. York,et al. Bayesian Graphical Models for Discrete Data , 1995 .
[42] D. Theobald,et al. Empirical Bayes hierarchical models for regularizing maximum likelihood estimation in the matrix Gaussian Procrustes problem , 2006, Proceedings of the National Academy of Sciences.
[43] Robert Kohn,et al. Variable Selection and Covariance Selection in Multivariate Regression Models , 2005 .
[44] E. Fama. Stock Returns, Real Activity, Inflation, and Money , 1981 .
[45] George Kapetanios,et al. Tests of Rank in Reduced Rank Regression Models , 2003 .
[46] Xiao-Li Meng,et al. SIMULATING RATIOS OF NORMALIZING CONSTANTS VIA A SIMPLE IDENTITY: A THEORETICAL EXPLORATION , 1996 .
[47] J. Mossin. EQUILIBRIUM IN A CAPITAL ASSET MARKET , 1966 .
[48] E. George,et al. Journal of the American Statistical Association is currently published by American Statistical Association. , 2007 .
[49] R. Kohn,et al. Parsimonious Covariance Matrix Estimation for Longitudinal Data , 2002 .
[50] Dayanand N. Naik,et al. Analysis of multivariate repeated measures data with a Kronecker product structured covariance matrix , 2001 .
[51] M. West,et al. High-Dimensional Sparse Factor Modeling: Applications in Gene Expression Genomics , 2008, Journal of the American Statistical Association.
[52] James G. Scott,et al. Feature-Inclusion Stochastic Search for Gaussian Graphical Models , 2008 .
[53] A. Dawid,et al. Hyper Markov Laws in the Statistical Analysis of Decomposable Graphical Models , 1993 .
[54] D. Dunson,et al. Sparse Bayesian infinite factor models. , 2011, Biometrika.
[55] P. Green,et al. Decomposable graphical Gaussian model determination , 1999 .
[56] Peter E. Rossi,et al. Bayes factors for nonlinear hypotheses and likelihood distributions , 1992 .
[57] A. Dawid. Some matrix-variate distribution theory: Notational considerations and a Bayesian application , 1981 .
[58] M. West,et al. Bayesian forecasting and dynamic models , 1989 .
[59] Steffen L. Lauritzen,et al. Graphical models in R , 1996 .
[60] P. Dutilleul. The mle algorithm for the matrix normal distribution , 1999 .
[61] Arnold Zellner,et al. Hierarchical Bayesian analysis of the seemingly unrelated regression and simultaneous equations models using a combination of direct Monte Carlo and importance sampling techniques , 2010 .
[62] Michael A. West,et al. Archival Version including Appendicies : Experiments in Stochastic Computation for High-Dimensional Graphical Models , 2005 .
[63] Lourens J. Waldorp,et al. Spatiotemporal EEG/MEG source analysis based on a parametric noise covariance model , 2002, IEEE Transactions on Biomedical Engineering.
[64] A. Zellner. An Introduction to Bayesian Inference in Econometrics , 1971 .
[65] William E. Griffiths,et al. Bayesian Inference in the Seemingly Unrelated Regressions Models , 2001 .
[66] J. Geweke,et al. Bayesian reduced rank regression in econometrics , 1996 .
[67] Bong-Soo Lee,et al. Causal Relations Among Stock Returns, Interest Rates, Real Activity, and Inflation , 1992 .
[68] Carlos M. Carvalho,et al. STRUCTURE AND SPARSITY IN HIGH-DIMENSIONAL MULTIVARIATE ANALYSIS , 2006 .
[69] Michael I. Jordan,et al. An Introduction to Variational Methods for Graphical Models , 1999, Machine-mediated learning.
[70] P. Dellaportas,et al. Markov chain Monte Carlo model determination for hierarchical and graphical log-linear models , 1999 .
[71] E. Fama,et al. Common risk factors in the returns on stocks and bonds , 1993 .
[72] Vivekananda Roy,et al. Convergence rates and asymptotic standard errors for MCMC algorithms for Bayesian probit regression , 2007 .
[73] D. Madigan,et al. Bayesian Model Averaging for Linear Regression Models , 1997 .
[74] Hao Wang,et al. Dynamic financial index models: Modeling conditional dependencies via graphs , 2011 .
[75] J. Finn. A General Model for Multivariate Analysis , 1978 .
[76] Arnold Zellner,et al. Prediction and Decision Problems in Regression Models from the Bayesian Point of View , 1965 .
[77] D. Harville. Matrix Algebra From a Statistician's Perspective , 1998 .
[78] E. George,et al. APPROACHES FOR BAYESIAN VARIABLE SELECTION , 1997 .
[79] J. Geweke,et al. Variable selection and model comparison in regression , 1994 .
[80] A. Gelfand,et al. Bayesian Model Choice: Asymptotics and Exact Calculations , 1994 .
[81] Steffen L. Lauritzen,et al. Bayesian methods with applications to science, policy and official statistics, ISBA 2000 , 2000 .
[82] Mike West,et al. Futures Markets, Bayesian Forecasting and Risk Modeling , 2009 .
[83] Bani K. Mallick,et al. Accounting for Model Uncertainty in Seemingly Unrelated Regressions , 2002 .
[84] Erricos John Kontoghiorghes,et al. Seemingly unrelated regression model with unequal size observations: computational aspects , 2002, Comput. Stat. Data Anal..
[85] Arnold Zellner,et al. Bayesian and non-Bayesian methods for combining models and forecasts with applications to forecasting international growth rates , 1993 .
[86] R. Kohn,et al. Nonparametric seemingly unrelated regression , 2000 .
[87] Erricos John Kontoghiorghes,et al. A comparative study of algorithms for solving seemingly unrelated regressions models , 2003, Comput. Stat. Data Anal..
[88] J. Besag. A candidate's formula: A curious result in Bayesian prediction , 1989 .