Babacan, S. Derin, Martin Luessi, Rafael Molina, and Aggelos K. Katsaggelos. 2012. “Sparse Bayesian Methods for Low-Rank Matrix Estimation.” IEEE Transactions on Signal Processing
60 (8): 3964–77.
Bondell, Howard D., and Brian J. Reich. 2012. “Consistent High-Dimensional Bayesian Variable Selection via Penalized Credible Regions.” Journal of the American Statistical Association
107 (500): 1610–24.
Brodersen, Kay H., Fabian Gallusser, Jim Koehler, Nicolas Remy, and Steven L. Scott. 2015. “Inferring Causal Impact Using Bayesian Structural Time-Series Models.” The Annals of Applied Statistics
9 (1): 247–74.
Carvalho, Carlos M., Nicholas G. Polson, and James G. Scott. 2009. “Handling Sparsity via the Horseshoe.”
In Artificial Intelligence and Statistics
George, Edward I., and Robert McCulloch. 1997. “Approaches for bayesian variable selection.” Statistica Sinica
7 (2): 339–73.
Ishwaran, Hemant, and J. Sunil Rao. 2005. “Spike and Slab Variable Selection: Frequentist and Bayesian Strategies.” The Annals of Statistics
33 (2): 730–73.
Madigan, David, and Adrian E. Raftery. 1994. “Model Selection and Accounting for Model Uncertainty in Graphical Models Using Occam’s Window.” Journal of the American Statistical Association
89 (428): 1535–46.
Mitchell, T. J., and J. J. Beauchamp. 1988. “Bayesian Variable Selection in Linear Regression.” Journal of the American Statistical Association
83 (404): 1023–32.
Piironen, Juho, and Aki Vehtari. 2017. “Sparsity Information and Regularization in the Horseshoe and Other Shrinkage Priors.” Electronic Journal of Statistics
11 (2): 5018–51.
Ročková, Veronika, and Edward I. George. 2018. “The Spike-and-Slab LASSO.” Journal of the American Statistical Association
113 (521): 431–44.
Schniter, Philip, Lee C. Potter, and Justin Ziniel. 2008. “Fast Bayesian Matching Pursuit.”
In 2008 Information Theory and Applications Workshop
, 326–33. San Diego, CA, USA: IEEE.
Scott, Steven L., and Hal R. Varian. 2013. “Predicting the Present with Bayesian Structural Time Series.”
SSRN Scholarly Paper ID 2304426. Rochester, NY: Social Science Research Network.
Seeger, Matthias, Florian Steinke, and Koji Tsuda. 2007. “Bayesian Inference and Optimal Design in the Sparse Linear Model.” In Artificial Intelligence and Statistics, 444–51. PMLR.
Smith, Michael, and Robert Kohn. 1996. “Nonparametric Regression Using Bayesian Variable Selection.” Journal of Econometrics
75 (2): 317–43.
Titsias, Michalis K., and Miguel Lázaro-Gredilla. 2011. “Spike and Slab Variational Inference for Multi-Task and Multiple Kernel Learning.”
In Advances in Neural Information Processing Systems 24
, edited by J. Shawe-Taylor, R. S. Zemel, P. L. Bartlett, F. Pereira, and K. Q. Weinberger, 2339–47. Curran Associates, Inc.
Zhou, Mingyuan, Haojun Chen, John Paisley, Lu Ren, Guillermo Sapiro, and Lawrence Carin. 2009. “Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations.”
In Proceedings of the 22nd International Conference on Neural Information Processing Systems
, 22:2295–2303. NIPS’09. Red Hook, NY, USA: Curran Associates Inc.