#confounders — Public Fediverse posts

'Copula-based Sensitivity Analysis for Multi-Treatment Causal Inference with Unobserved Confounding', by Jiajing Zheng, Alexander D'Amour, Alexander Franks.

http://jmlr.org/papers/v26/22-0372.html

#confounders #copula #confounding

'Copula-based Sensitivity Analysis for Multi-Treatment Causal Inference with Unobserved Confounding', by Jiajing Zheng, Alexander D'Amour, Alexander Franks.

http://jmlr.org/papers/v26/22-0372.html

#confounders #copula #confounding

'Copula-based Sensitivity Analysis for Multi-Treatment Causal Inference with Unobserved Confounding', by Jiajing Zheng, Alexander D'Amour, Alexander Franks.

http://jmlr.org/papers/v26/22-0372.html

#confounders #copula #confounding

'Copula-based Sensitivity Analysis for Multi-Treatment Causal Inference with Unobserved Confounding', by Jiajing Zheng, Alexander D'Amour, Alexander Franks.

http://jmlr.org/papers/v26/22-0372.html

#confounders #copula #confounding

'Copula-based Sensitivity Analysis for Multi-Treatment Causal Inference with Unobserved Confounding', by Jiajing Zheng, Alexander D'Amour, Alexander Franks.

http://jmlr.org/papers/v26/22-0372.html

#confounders #copula #confounding

'High-Dimensional Inference for Generalized Linear Models with Hidden Confounding', by Jing Ouyang, Kean Ming Tan, Gongjun Xu.

http://jmlr.org/papers/v24/22-0834.html

#confounders #inferences #debiasing

'High-Dimensional Inference for Generalized Linear Models with Hidden Confounding', by Jing Ouyang, Kean Ming Tan, Gongjun Xu.

http://jmlr.org/papers/v24/22-0834.html

#confounders #inferences #debiasing

'High-Dimensional Inference for Generalized Linear Models with Hidden Confounding', by Jing Ouyang, Kean Ming Tan, Gongjun Xu.

http://jmlr.org/papers/v24/22-0834.html

#confounders #inferences #debiasing

'High-Dimensional Inference for Generalized Linear Models with Hidden Confounding', by Jing Ouyang, Kean Ming Tan, Gongjun Xu.

http://jmlr.org/papers/v24/22-0834.html

#confounders #inferences #debiasing

'High-Dimensional Inference for Generalized Linear Models with Hidden Confounding', by Jing Ouyang, Kean Ming Tan, Gongjun Xu.

http://jmlr.org/papers/v24/22-0834.html

#confounders #inferences #debiasing

'Scalable Computation of Causal Bounds', by Madhumitha Shridharan, Garud Iyengar.

http://jmlr.org/papers/v24/22-1081.html

#causal #confounders #solvers

'The Proximal ID Algorithm', by Ilya Shpitser, Zach Wood-Doughty, Eric J. Tchetgen Tchetgen.

http://jmlr.org/papers/v24/21-0950.html

#causal #unobserved #confounders