Xuan Cao

Website: https://xuan-cao.github.io

BS in Mathematics: Nanjing University 2013

PhD in Statistics: University of Florida 2018

High-dimensional inference on graphical models; High-dimensional model selection in regression; Statistical applications in neuroscience

Grant: #635213 Investigators:Cao, Xuan 09-01-2019 -08-31-2024 Simons Foundation New Approaches for Covariance Estimation and Model Selection in High Dimensions Role:PI $42,000.00 Awarded Level:Private Non-Profit

Peer Reviewed Publications

Huang, Q.; Zhang, R.; Hu, X.; Ding, S.; Qian, J.; Lei, T.; Cao, X.; Tao, L.; Qian, Z.; Liu, H.  (2014). Disturbed small-world networks and neurocognitive function in frontal lobe low-grade glioma patients. PLoS One, 9 (4 ) , e94095

Huang, Q.; Cao, X.; Yang, K.; Chai, X.; Xiao, C.; Wang, J.; Wang, X.  (2019). In Reply to the Letter to the Editor Regarding "The Radiological Imaging Features of Easily Misdiagnosed Epithelioid Glioblastoma in Seven Patients". World Neurosurg, 125 (23 ) , 546

Cao, Xuan; Khare, Kshitij; Ghosh, Malay  (2019). Posterior graph selection and estimation consistency for high-dimensional Bayesian DAG models. Ann. Statist., 47 (1 ) , 319-348

Huang, Q. L.; Cao, X.; Chai, X.; Wang, X.; Xiao, C.; Wang, J.  (2019). The Radiological Imaging Features of Easily Misdiagnosed Epithelioid Glioblastoma in Seven Patients. World Neurosurg, 9 (4 ) , e94095

Huang, Q.; Cao, X.; Chai, X.; Wang, X.; Xu, L.; Xiao, C.  (2019). Three-dimensional pseudocontinuous arterial spin labeling and susceptibility-weighted imaging associated with clinical progression in amnestic mild cognitive impairment and Alzheimer's disease. Medicine (Baltimore), 98 (23 ) , e15972

Cao, Xuan; Zhang, Shaojun  (2020). A permutation-based Bayesian approach for inverse covariance estimation. Communications in Statistics - Theory and Methods, 49 (14 ) , 3557-3571

Lee, K.; Cao, X.  (2020). Bayesian group selection in logistic regression with application to MRI data analysis. Biometrics, 9 (4 ) , e94095

Cao, Xuan; Khare, Kshitij; Ghosh, Malay  (2020). Consistent Bayesian sparsity selection for high-dimensional Gaussian DAG models with multiplicative and beta-mixture priors. Journal of Multivariate Analysis, 179 (1 ) , 104628

Cao, Xuan; Khare, Kshitij; Ghosh, Malay  (2020). High-Dimensional Posterior Consistency for Hierarchical Non-Local Priors in Regression. Bayesian Anal., 15 (1 ) , 241-262

Cao, X.; Ding, L.; Mersha, T. B.  (2020). Joint variable selection and network modeling for detecting eQTLs. Stat Appl Genet Mol Biol, 19 (1 )

Cao, Xuan; Lee, Kyoungjae  (2020). Joint Bayesian Variable and DAG Selection Consistency for High-dimensional Regression Models with Network-structured Covariates. Statistica SinicaMore Information