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12/24/2022
Simultaneous false discovery proportion bounds via knockoffs and closed testing
We propose new methods to obtain simultaneous false discovery proportion...
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08/07/2022
Graphical tools for selecting accurate and valid conditional instrumental sets
We consider the accurate estimation of total causal effects in the prese...
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10/13/2021
Estimation and Inference of Extremal Quantile Treatment Effects for Heavy-Tailed Distributions
Causal inference for extreme events has many potential applications in f...
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03/10/2021
Profiling Compliers in Instrumental Variables Designs
Instrumental variable (IV) analyses are becoming common in health servic...
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06/27/2020
Evaluation of Causal Structure Learning Algorithms via Risk Estimation
Recent years have seen many advances in methods for causal structure lea...
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02/17/2020
On efficient adjustment in causal graphs
We consider estimation of a total causal effect from observational data ...
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08/30/2019
Nodewise Knockoffs: False Discovery Rate Control for Gaussian Graphical Models
Controlling the false discovery rate (FDR) is important for obtaining re...
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07/04/2019
Graphical Criteria for Efficient Total Effect Estimation via Adjustment in Causal Linear Models
Covariate adjustment is commonly used for total causal effect estimation...
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06/07/2016
Structure Learning in Graphical Modeling
A graphical model is a statistical model that is associated to a graph w...
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08/07/2015
Distributional Equivalence and Structure Learning for Bow-free Acyclic Path Diagrams
We consider the problem of structure learning for bow-free acyclic path ...
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07/22/2013
A generalized back-door criterion
We generalize Pearl's back-door criterion for directed acyclic graphs (D...
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11/14/2012