
Robust Inference for HighDimensional Linear Models via Residual Randomization
We propose a residual randomization procedure designed for robust Lasso...
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Highdimensional Functional Graphical Model Structure Learning via Neighborhood Selection Approach
Undirected graphical models have been widely used to model the condition...
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Causal Discovery with Unobserved Confounding and nonGaussian Data
We consider the problem of recovering causal structure from multivariate...
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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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Direct Estimation of Differential Functional Graphical Models
We consider the problem of estimating the difference between two functio...
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Genderbased 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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On Causal Discovery with Equal Variance Assumption
Prior work has shown that causal structure can be uniquely identified fr...
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HighDimensional Causal Discovery Under nonGaussianity
We consider data from graphical models based on a recursive system of li...
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HighDimensional Discovery Under nonGaussianity
We consider data from graphical models based on a recursive system of li...
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On the use of bootstrap with variational inference: Theory, interpretation, and a twosample test example
Variational inference is a general approach for approximating complex de...
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Empirical Likelihood for Linear Structural Equation Models with Dependent Errors
We consider linear structural equation models that are associated with m...
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Y. Samuel Wang
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