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Journal of Machine Learning Research : JMLR|January 22, 2024
Conditional Distribution Function Estimation Using Neural Networks for Censored and Uncensored DataBingqing Hu, Bin NanLifetime Data Analysis|August 19, 2006
A hybrid Newton-type method for censored survival data using double weights in linear modelsMenggang Yu, Bin NanAnnals of Statistics|January 18, 2014
A SIEVE M-THEOREM FOR BUNDLED PARAMETERS IN SEMIPARAMETRIC MODELS, WITH APPLICATION TO THE EFFICIENT ESTIMATION IN A LINEAR MODEL FOR CENSORED DATAYing Ding, Bin NanLifetime Data Analysis|September 9, 2018
Proportional cross-ratio modelTianle Hu, Bin Nan, Xihong LinBiometrics|May 28, 2015
Multiple testing for neuroimaging via hidden Markov random fieldHai Shu, Bin Nan, Robert KoeppeBiometrics|October 25, 2021
Debiased lasso for generalized linear models with a diverging number of covariatesLu Xia, Bin Nan, Yi LiBiometrics|March 4, 2015
Multivariate sparse group lasso for the multivariate multiple linear regression with an arbitrary group structureYanming Li, Bin Nan, Ji ZhuLifetime Data Analysis|May 24, 2013
Cross-ratio estimation for bivariate failure times with left truncationTianle Hu, Xihong Lin, Bin NanThe Annals of Applied Statistics|December 18, 2023
Debiased lasso for stratified Cox models with application to the national kidney transplant dataLu Xia, Bin Nan, Yi LiScandinavian Journal of Statistics, Theory and Applications|July 6, 2023
Statistical Inference for Cox Proportional Hazards Models with a Diverging Number of CovariatesLu Xia, Bin Nan, Yi LiPageof 29