A hybrid deterministic–deterministic approach for high-dimensional Bayesian variable selection with a default prior
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computational Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://link.springer.com/content/pdf/10.1007/s00180-023-01368-y.pdf
Reference34 articles.
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2. Barbieri MM, Berger JO (2004) Optimal predictive model selection. Ann Stat 32(3):870–897
3. Bhattacharya A, Chakraborty A, Mallick BK (2016) Fast sampling with Gaussian scale mixture priors in high-dimensional regression. Biometrika 103:985–991
4. Carvalho CM, Polson NG, Scott JG (2009) Handling sparsity via the horseshoe. In: Artificial intelligence and statistics. PMLR, pp 73–80
5. Carvalho CM, Polson NG, Scott JG (2010) The horseshoe estimator for sparse signals. Biometrika 97(2):465–480
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