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02/28/2023
Debiased Lasso After Sample Splitting for Estimation and Inference in High Dimensional Generalized Linear Models
We consider random sample splitting for estimation and inference in high...
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11/16/2022
De-biased lasso for stratified Cox models with application to the national kidney transplant data
The Scientific Registry of Transplant Recipients (SRTR) system has becom...
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07/06/2022
Conditional Distribution Function Estimation Using Neural Networks for Censored and Uncensored Data
Most work in neural networks focuses on estimating the conditional mean ...
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11/09/2021
Kernel estimation of bivariate time-varying coefficient model for longitudinal data with terminal event
We propose a nonparametric bivariate time-varying coefficient model for ...
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10/09/2021
De-biased Lasso for Generalized Linear Models with A Diverging Number of Covariates
Modeling and drawing inference on the joint associations between single ...
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06/06/2021
Statistical Inference for Cox Proportional Hazards Models with a Diverging Number of Covariates
For statistical inference on regression models with a diverging number o...
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06/23/2020
A Revisit to De-biased Lasso for Generalized Linear Models
De-biased lasso has emerged as a popular tool to draw statistical infere...
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12/16/2014
Estimation of Large Covariance and Precision Matrices from Temporally Dependent Observations
We consider the estimation of large covariance and precision matrices fr...
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04/04/2014
Multiple Testing for Neuroimaging via Hidden Markov Random Field
Traditional voxel-level multiple testing procedures in neuroimaging, mos...
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04/09/2012