4 papers
Estimation of High Dimensional Bounded Discrete Graphical Models via Regularized Generalized Score Matching
Xuran Meng, Jingfei Zhang, Yi Li
Graphical models for multivariate count data are widely used to characterize conditional dependence structures. For count variables with unbounded support, however, ensuring a fini…
Beyond Consistency: Inference for the Relative risk functional in Deep Nonparametric Cox Models
Sattwik Ghosal, Xuran Meng, Yi Li
There remain theoretical gaps in deep neural network estimators for the nonparametric Cox proportional hazards model. In particular, it is unclear how gradient-based optimization e…
Inference for Deep Neural Network Estimators in Generalized Nonparametric Models
Xuran Meng, Yi Li
While deep neural networks (DNNs) are used for prediction, inference on DNN-estimated subject-specific means for categorical or exponential family outcomes remains underexplored. W…
Statistical Inference on High Dimensional Gaussian Graphical Regression Models
Xuran Meng, Jingfei Zhang, Yi Li
Gaussian graphical regressions have emerged as a powerful approach for regressing the precision matrix of a Gaussian graphical model on covariates, which, unlike traditional Gaussi…