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06/10/2023
Sufficient Identification Conditions and Semiparametric Estimation under Missing Not at Random Mechanisms
Conducting valid statistical analyses is challenging in the presence of ...
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04/04/2023
Graphical Models of Entangled Missingness
Despite the growing interest in causal and statistical inference for set...
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01/27/2023
Ananke: A Python Package For Causal Inference Using Graphical Models
We implement Ananke: an object-oriented Python package for causal infere...
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10/11/2022
Causal and counterfactual views of missing data models
It is often said that the fundamental problem of causal inference is a m...
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03/01/2022
On Testability of the Front-Door Model via Verma Constraints
The front-door criterion can be used to identify and compute causal effe...
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02/28/2022
On Testability and Goodness of Fit Tests in Missing Data Models
Significant progress has been made in developing identification and esti...
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04/16/2021
Semiparametric Sensitivity Analysis: Unmeasured Confounding In Observational Studies
Establishing cause-effect relationships from observational data often re...
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10/15/2020
Causal Inference in the Presence of Interference in Sponsored Search Advertising
In classical causal inference, inferring cause-effect relations from dat...
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06/08/2020
A Semiparametric Approach to Interpretable Machine Learning
Black box models in machine learning have demonstrated excellent predict...
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04/10/2020
Full Law Identification In Graphical Models Of Missing Data: Completeness Results
Missing data has the potential to affect analyses conducted in all field...
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03/27/2020
Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables
The last decade witnessed the development of algorithms that completely ...
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10/09/2019
Optimal Training of Fair Predictive Models
Recently there has been sustained interest in modifying prediction algor...
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06/29/2019
Identification In Missing Data Models Represented By Directed Acyclic Graphs
Missing data is a pervasive problem in data analyses, resulting in datas...
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09/27/2018
Estimation of Personalized Effects Associated With Causal Pathways
The goal of personalized decision making is to map a unit's characterist...
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09/06/2018
Learning Optimal Fair Policies
We consider the problem of learning optimal policies from observational ...
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05/29/2017
