Parameterizing and Simulating from Causal Models

v1v2v3v4v5 (latest)

Parameterizing and Simulating from Causal Models

8 September 2021

Vanessa Didelez

ArXiv (abs)PDF HTML

Papers citing "Parameterizing and Simulating from Causal Models"

9 / 9 papers shown

Title
Testing Generalizability in Causal Inference Daniel de Vassimon Manela Linying Yang Robin J. Evans 78 0 0 05 Nov 2024
Marginal Causal Flows for Validation and Inference Daniel de Vassimon Manela Laura Battaglia Robin J. Evans CML 77 2 0 02 Nov 2024
Structured Learning of Compositional Sequential Interventions Jialin Yu Andreas Koukorinis Nicolo Colombo Yuchen Zhu Ricardo Silva CML 66 1 0 09 Jun 2024
On the role of parametrization in models with a misspecified nuisance component Heather Battey Nancy Reid 52 0 0 08 Feb 2024
Targeting relative risk heterogeneity with causal forests Vik Shirvaikar Andrea Storås Xi Lin Chris Holmes CML 46 1 0 26 Sep 2023
Out-of-Variable Generalization for Discriminative Models Siyuan Guo J. Wildberger Bernhard Schölkopf OOD CML 90 2 0 16 Apr 2023
Combining experimental and observational data through a power likelihood Xi Lin J. Tarp R. Evans CML 55 5 0 05 Apr 2023
Nonlinear Regression with Residuals: Causal Estimation with Time-varying Treatments and Covariates Stephen Bates Edward H. Kennedy Robert Tibshirani V. Ventura Larry A. Wasserman CML OOD 54 1 0 31 Jan 2022
A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment Robert Hu Dino Sejdinovic R. Evans CML 56 2 0 25 Nov 2021