89 citations · 455 across the 65 of their papers we have counts for
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Physically informed machine-learning algorithms for the identification of two-dimensional atomic crystals
Laura Zichi, Tianci Liu, Elizabeth Drueke +2
First isolated in 2004, graphene monolayers display unique properties and promising technological potential in next generation electronics, optoelectronics, and energy storage. The…
High-Dimensional Inference for Generalized Linear Models with Hidden Confounding
Jing Ouyang, Kean Ming Tan, Gongjun Xu
Statistical inferences for high-dimensional regression models have been extensively studied for their wide applications ranging from genomics, neuroscience, to economics. However,…
Partial-Mastery Cognitive Diagnosis Models
Zhuoran Shang, Elena A. Erosheva, Gongjun Xu
Cognitive diagnosis models (CDMs) are a family of discrete latent attribute models that serve as statistical basis in educational and psychological cognitive diagnosis assessments.…
Adaptive Tests for Bandedness of High-dimensional Covariance Matrices
Xiaoyi Wang, Gongjun Xu, Shurong Zheng
Estimation of the high-dimensional banded covariance matrix is widely used in multivariate statistical analysis. To ensure the validity of estimation, we aim to test the hypothesis…