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Prado, Estevão B., O'Neill, Eoghan, Hernandez, Belinda, Parnell, Andrew and de Andrade Moral, Rafael (2020) Discussion of: "Bayesian Regression Tree Models for Causal Inference: Regularization, Confounding, and Heterogeneous Effects". Bayesian Analysis, 15 (3). pp. 1029-1031. ISSN 1931-6690
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Abstract
Contributed discussion included in P. Richard Hahn. Jared S. Murray. Carlos M. Carvalho. "Bayesian Regression Tree Models for Causal Inference: Regularization, Confounding, and Heterogeneous Effects (with Discussion)." Bayesian Anal. 15 (3) 965 - 1056, September 2020. https://doi.org/10.1214/19-BA1195
| Item Type: | Article |
|---|---|
| Keywords: | Bayesian; Causal inference; heterogeneous treatment effects; machine learning; predictor-dependent priors; regression trees; regularization; shrinkage; |
| Academic Unit: | Faculty of Science and Engineering > Mathematics and Statistics Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
| Item ID: | 15552 |
| Identification Number: | 10.1214/19-BA1195 |
| Depositing User: | Rafael de Andrade Moral |
| Date Deposited: | 22 Feb 2022 15:09 |
| Journal or Publication Title: | Bayesian Analysis |
| Publisher: | International Society for Bayesian Analysis (ISBA) |
| Refereed: | Yes |
| Related URLs: | |
| URI: | https://mu.eprints-hosting.org/id/eprint/15552 |
| Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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