47 citations · 85 across the 12 of their papers we have counts for
14 papers
Bayesian analysis of regression discontinuity designs with heterogeneous treatment effects
Kevin Tao, Y. Samuel Wang, David Ruppert
Regression Discontinuity Design (RDD) is a popular framework for estimating a causal effect in settings where treatment is assigned if an observed covariate exceeds a fixed thresho…
Confidence Sets for Causal Orderings
Y. Samuel Wang, Mladen Kolar, Mathias Drton
Causal discovery procedures aim to deduce causal relationships among variables in a multivariate dataset. While various methods have been proposed for estimating a single causal mo…
Robust Inference for High-Dimensional Linear Models via Residual Randomization
Y. Samuel Wang, Si Kai Lee, Panos Toulis +1
We propose a residual randomization procedure designed for robust Lasso-based inference in the high-dimensional setting. Compared to earlier work that focuses on sub-Gaussian error…
High-dimensional Functional Graphical Model Structure Learning via Neighborhood Selection Approach
Boxin Zhao, Percy S. Zhai, Y. Samuel Wang +1
Undirected graphical models are widely used to model the conditional independence structure of vector-valued data. However, in many modern applications, for example those involving…
Causal Discovery with Unobserved Confounding and non-Gaussian Data
Y. Samuel Wang, Mathias Drton
We consider recovering causal structure from multivariate observational data. We assume the data arise from a linear structural equation model (SEM) in which the idiosyncratic erro…
FuDGE: A Method to Estimate a Functional Differential Graph in a High-Dimensional Setting
Boxin Zhao, Y. Samuel Wang, Mladen Kolar
We consider the problem of estimating the difference between two undirected functional graphical models with shared structures. In many applications, data are naturally regarded as…
Direct Estimation of Differential Functional Graphical Models
Boxin Zhao, Y. Samuel Wang, Mladen Kolar
We consider the problem of estimating the difference between two functional undirected graphical models with shared structures. In many applications, data are naturally regarded as…
Gender-based homophily in collaborations across a heterogeneous scholarly landscape
Y. Samuel Wang, Carole J. Lee, Jevin D. West +2
In this article, we investigate the role of gender in collaboration patterns by analyzing gender-based homophily -- the tendency for researchers to co-author with individuals of th…
On Causal Discovery with Equal Variance Assumption
Wenyu Chen, Mathias Drton, Y. Samuel Wang
Prior work has shown that causal structure can be uniquely identified from observational data when these follow a structural equation model whose error terms have equal variances.…
On the use of bootstrap with variational inference: Theory, interpretation, and a two-sample test example
Yen-Chi Chen, Y. Samuel Wang, Elena A. Erosheva
Variational inference is a general approach for approximating complex density functions, such as those arising in latent variable models, popular in machine learning. It has been a…
Empirical Likelihood for Linear Structural Equation Models with Dependent Errors
Y. Samuel Wang, Mathias Drton
We consider linear structural equation models that are associated with mixed graphs. The structural equations in these models only involve observed variables, but their idiosyncrat…
On the relationship between set-based and network-based measures of gender homophily in scholarly publications
Y. Samuel Wang, Elena A. Erosheva
There is an increased interest in the scientific community in the problem of measuring gender homophily in co-authorship on scholarly publications (Eisen, 2016). For a given set of…
Computation of maximum likelihood estimates in cyclic structural equation models
Mathias Drton, Christopher Fox, Y. Samuel Wang
Software for computation of maximum likelihood estimates in linear structural equation models typically employs general techniques from non-linear optimization, such as quasi-Newto…
A Variational EM Method for Mixed Membership Models with Multivariate Rank Data: an Analysis of Public Policy Preferences
Y. Samuel Wang, Ross Matsueda, Elena A. Erosheva
In this article, we consider modeling ranked responses from a heterogeneous population. Specifically, we analyze data from the Eurobarometer 34.1 survey regarding public policy pre…