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Keyword

Bayesian variable selection

Description: A statistical method that uses Bayesian inference to identify relevant predictors by estimating their inclusion probabilities or model probabilities.
OpenAlex ID: keywords/bayesian-variable-selection
Bayesian Variable Selection in Linear Regression
1988 · T. J. Mitchell, J. J. Beauchamp · Journal of the American Statistical Association · 1,424
Approaches for Bayesian Variable Selection
1997 · Edward I. George, Robert E. McCulloch · 1,193
Mixtures of g Priors for Bayesian Variable Selection
2008 · Feng Liang, Rui Paulo, et al. · Journal of the American Statistical Association · 1,093
Variables selection methods in near-infrared spectroscopy
2010 · Zou Xiaobo, Zhao Jiewen, et al. · Analytica Chimica Acta · 1,081
The Impact of Genetic Architecture on Genome-Wide Evaluation Methods
2010 · Hans D Daetwyler, Ricardo Pong-Wong, et al. · Genetics · 806
A review of Bayesian variable selection methods: what, how and which
2009 · R. B. O'Hara, M. J. Sillanpää · Bayesian Analysis · 772
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Nonparametric regression using Bayesian variable selection
1996 · Michael Smith, Robert Kohn · Journal of Econometrics · 580
A default Bayesian hypothesis test for correlations and partial correlations
2012 · Ruud Wetzels, Eric-Jan Wagenmakers · Psychonomic Bulletin & Review · 510
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Multivariate Bayesian Variable Selection and Prediction
1998 · P. J. Brown, M. Vannucci, et al. · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 370
Determinants of Foreign Direct Investment
2011 · Bruce Blonigen, Jeremy Piger · National Bureau of Economic Research · 355
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Bayesian variable selection with related predictors
1996 · Hugh Chipman · Canadian Journal of Statistics · 352
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The Spike-and-Slab LASSO
2016 · Veronika Ročková, Edward I. George · Journal of the American Statistical Association · 341
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A Simulation Study of Alternatives to Ordinary Least Squares
1977 · A. P. Dempster, Martin Schatzoff, et al. · Journal of the American Statistical Association · 308
A fully Bayesian latent variable model for integrative clustering analysis of multi-type omics data
2017 · Qianxing Mo, Ronglai Shen, et al. · Biostatistics · 281
Blind Kriging: A New Method for Developing Metamodels
2008 · V. Roshan Joseph, Ying Hung, et al. · Journal of Mechanical Design · 264
Scalable Variational Inference for Bayesian Variable Selection in Regression, and Its Accuracy in Genetic Association Studies
2012 · Peter Carbonetto, Matthew Stephens · Bayesian Analysis · 262
Bayesian Variable Selection in Clustering High-Dimensional Data
2005 · Mahlet G Tadesse, Naijun Sha, et al. · Journal of the American Statistical Association · 262
Generalized Double Pareto Shrinkage.
2013 · Artin Armagan, David B Dunson, et al. · PubMed · 261
A Bayesian Variable-Selection Approach for Analyzing Designed Experiments With Complex Aliasing
1997 · H. Chipman, M. Hamada, et al. · Technometrics · 253
EMVS: The EM Approach to Bayesian Variable Selection
2013 · Veronika Ročková, Edward I. George · Journal of the American Statistical Association · 251
Variable Selection and Model Comparison in Regression
1996 · J Geweke · 228
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Bayesian variable selection with shrinking and diffusing priors
2014 · Naveen Naidu Narisetty, Xuming He · The Annals of Statistics · 224
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Stochastic model specification search for Gaussian and partial non-Gaussian state space models
2009 · Sylvia Frühwirth-Schnatter, Helga Wagner · Journal of Econometrics · 221
Different models of genetic variation and their effect on genomic evaluation
2011 · Samuel A Clark, John M Hickey, et al. · Genetics Selection Evolution · 215
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Doubly Stochastic Variational Bayes for non-Conjugate Inference
2014 · Michalis K. Titsias, Miguel L zaro-gredilla · 204
Works count: 1,869
Citation count: 29,200
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