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 Sinica, , More Information