2 citations · 3 across the 3 of their papers we have counts for
4 papers
Fair Risk Minimization under Causal Path-Specific Effect Constraints
Razieh Nabi, David Benkeser
This paper introduces a framework for estimating fair optimal predictions using machine learning where the notion of fairness can be quantified using path-specific causal effects.…
Sufficient Identification Conditions and Semiparametric Estimation under Missing Not at Random Mechanisms
Anna Guo, Jiwei Zhao, Razieh Nabi
Conducting valid statistical analyses is challenging in the presence of missing-not-at-random (MNAR) data, where the missingness mechanism is dependent on the missing values themse…
Graphical Models of Entangled Missingness
Ranjani Srinivasan, Rohit Bhattacharya, Razieh Nabi +2
Despite the growing interest in causal and statistical inference for settings with data dependence, few methods currently exist to account for missing data in dependent data settin…
Ananke: A Python Package For Causal Inference Using Graphical Models
Jaron J. R. Lee, Rohit Bhattacharya, Razieh Nabi +1
We implement Ananke: an object-oriented Python package for causal inference with graphical models. At the top of our inheritance structure is an easily extensible Graph class that…