snow shoeing
Gradient ascent in practice

Some of the things I enjoy thinking about

My research interests in theory and methodology include graphical models and causal discovery; my applied interests typically lie within the social sciences.

Gender-based homophily in collaborations across a heterogeneous scholarly landscape
Y. S. Wang, C. J. Lee, J. D. West, C. T. Bergstrom, and E. A. Erosheva

Direct Estimation of Differential Functional Graphical Model
NeurIPS (2019)
B. Zhao, Y. S. Wang, M. Kolar
High-dimensional causay discovery under non-Gaussianity
Biometrika (2019+)
Y. S. Wang and M. Drton
On causal discovery with an equal variance assumption
Biometrika (2019)
W. Chen, M. Drton, and Y. S. Wang
Computation of maximum likelihood estimates in cyclic structural equation models
The Annals of Statistics (2018)
M. Drton, C. Fox, and Y. S. Wang
On the use of bootstrap with variational inference: Theory, interpretation, and a two-sample test example
The Annals of Applied Statistics (2018)
Y.C. Chen, Y. S. Wang, and E. A. Erosheva
Empirical likelihood for linear structural equation models with dependent errors
Stat (2017)
Y. S. Wang and M. Drton
A variational EM method for mixed membership models with multivariate rank data: An analysis of public policy preferences
The Annals of Applied Statistics (2017)
Y. S. Wang, R. L. Matsueda, and E. A. Erosheva