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05/23/2023
Confidence Sets for Causal Orderings
Causal discovery procedures aim to deduce causal relationships among var...
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06/14/2021
Robust Inference for High-Dimensional Linear Models via Residual Randomization
We propose a residual randomization procedure designed for robust Lasso-...
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05/06/2021
High-dimensional Functional Graphical Model Structure Learning via Neighborhood Selection Approach
Undirected graphical models have been widely used to model the condition...
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07/21/2020
Causal Discovery with Unobserved Confounding and non-Gaussian Data
We consider the problem of recovering causal structure from multivariate...
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03/11/2020
FuDGE: Functional Differential Graph Estimation with fully and discretely observed curves
We consider the problem of estimating the difference between two functio...
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10/22/2019
Direct Estimation of Differential Functional Graphical Models
We consider the problem of estimating the difference between two functio...
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09/03/2019
Gender-based homophily in collaborations across a heterogeneous scholarly landscape
Using the corpus of JSTOR articles, we investigate the role of gender in...
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07/09/2018
On Causal Discovery with Equal Variance Assumption
Prior work has shown that causal structure can be uniquely identified fr...
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03/29/2018
High-Dimensional Causal Discovery Under non-Gaussianity
We consider data from graphical models based on a recursive system of li...
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03/29/2018
High-Dimensional Discovery Under non-Gaussianity
We consider data from graphical models based on a recursive system of li...
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11/29/2017
On the use of bootstrap with variational inference: Theory, interpretation, and a two-sample test example
Variational inference is a general approach for approximating complex de...
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10/06/2017