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Discussion

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  • Robert B. Gramacy

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  • Robert B. Gramacy, 2020. "Discussion," International Statistical Review, International Statistical Institute, vol. 88(2), pages 326-329, August.
    • Handle: RePEc:bla:istatr:v:88:y:2020:i:2:p:326-329
    DOI: 10.1111/insr.12385
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    References listed on IDEAS

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    1. Park, Trevor & Casella, George, 2008. "The Bayesian Lasso," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 681-686, June.
    2. Anindya Bhadra & Jyotishka Datta & Yunfan Li & Nicholas Polson, 2020. "Horseshoe Regularisation for Machine Learning in Complex and Deep Models," International Statistical Review, International Statistical Institute, vol. 88(2), pages 302-320, August.
    3. Carlos M. Carvalho & Nicholas G. Polson & James G. Scott, 2010. "The horseshoe estimator for sparse signals," Biometrika, Biometrika Trust, vol. 97(2), pages 465-480.
    4. P. Richard Hahn & Carlos M. Carvalho, 2015. "Decoupling Shrinkage and Selection in Bayesian Linear Models: A Posterior Summary Perspective," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(509), pages 435-448, March.
    5. Christopher T. Franck & Robert B. Gramacy, 2020. "Assessing Bayes Factor Surfaces Using Interactive Visualization and Computer Surrogate Modeling," The American Statistician, Taylor & Francis Journals, vol. 74(4), pages 359-369, October.
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