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Bayesian causal forests with covariate balancing propensity score: a novel approach for heterogeneous treatment effects estimation
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| Published in: | JDSA |
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| Format: | Online Article RSS Article |
| Published: |
2026
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| _version_ | 1864030190648164353 |
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| collection | WordPress RSS FRELIP Feed Integration |
| container_title | JDSA |
| description | |
| discipline_display | Engineering & Technology |
| discipline_facet | Engineering & Technology |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:8064 |
| institution | FRELIP |
| journal_source_facet | JDSA |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Bayesian causal forests with covariate balancing propensity score: a novel approach for heterogeneous treatment effects estimation Big data and Data science Computer Science & IT Engineering & Technology |
| sub_discipline_display | Computer Science & IT |
| sub_discipline_facet | Computer Science & IT |
| subject_display | Big data and Data science Computer Science & IT Engineering & Technology Big data and Data science Computer Science & IT Engineering & Technology |
| subject_facet | Big data and Data science Computer Science & IT Engineering & Technology |
| title | Bayesian causal forests with covariate balancing propensity score: a novel approach for heterogeneous treatment effects estimation |
| title_auth | Bayesian causal forests with covariate balancing propensity score: a novel approach for heterogeneous treatment effects estimation |
| title_full | Bayesian causal forests with covariate balancing propensity score: a novel approach for heterogeneous treatment effects estimation |
| title_fullStr | Bayesian causal forests with covariate balancing propensity score: a novel approach for heterogeneous treatment effects estimation |
| title_full_unstemmed | Bayesian causal forests with covariate balancing propensity score: a novel approach for heterogeneous treatment effects estimation |
| title_short | Bayesian causal forests with covariate balancing propensity score: a novel approach for heterogeneous treatment effects estimation |
| title_sort | bayesian causal forests with covariate balancing propensity score: a novel approach for heterogeneous treatment effects estimation |
| topic | Big data and Data science Computer Science & IT Engineering & Technology |
| url | https://link.springer.com/article/10.1007/s41060-025-01013-5 |