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Bin Nan

Showing results (1-10 of 256) with videos related to

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Scandinavian Journal of Statistics, Theory and Applications|May 29, 2015
ESTIMATING MEAN SURVIVAL TIME: WHEN IS IT POSSIBLE?Ying Ding, Bin Nan
Lifetime Data Analysis|March 24, 2026
Nonparametric estimation of conditional survival function with time-varying covariates using DeepONetBingqing Hu, Bin Nan
Biometrics|August 4, 2009
Regression calibration in semiparametric accelerated failure time modelsMenggang Yu, Bin Nan
Statistics in Medicine|April 2, 2026
Regression for Left-Truncated and Right-Censored Data: A Semiparametric Sieve Likelihood ApproachSpencer Matthews, Bin Nan
The Canadian Journal of Statistics = Revue Canadienne De Statistique|June 4, 2025
Debiased lasso after sample splitting for estimation and inference in high-dimensional generalized linear modelsOmar Vazquez, Bin Nan
Statistica Sinica|February 12, 2014
Non-Asymptotic Oracle Inequalities for the High-Dimensional Cox Regression via LassoShengchun Kong, Bin Nan
Biometrical Journal. Biometrische Zeitschrift|March 5, 2008
Analysis of case-control age-at-onset data using a modified case-cohort methodBin Nan, Xihong Lin
Journal of Machine Learning Research : JMLR|January 22, 2024
Conditional Distribution Function Estimation Using Neural Networks for Censored and Uncensored DataBingqing Hu, Bin Nan
Lifetime Data Analysis|August 19, 2006
A hybrid Newton-type method for censored survival data using double weights in linear modelsMenggang Yu, Bin Nan
Annals 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 Nan
Pageof 26

Showing results (1-10 of 256) with videos related to

Sort By:
Pageof 26
Scandinavian Journal of Statistics, Theory and Applications|May 29, 2015
ESTIMATING MEAN SURVIVAL TIME: WHEN IS IT POSSIBLE?Ying Ding, Bin Nan
Lifetime Data Analysis|March 24, 2026
Nonparametric estimation of conditional survival function with time-varying covariates using DeepONetBingqing Hu, Bin Nan
Biometrics|August 4, 2009
Regression calibration in semiparametric accelerated failure time modelsMenggang Yu, Bin Nan
Statistics in Medicine|April 2, 2026
Regression for Left-Truncated and Right-Censored Data: A Semiparametric Sieve Likelihood ApproachSpencer Matthews, Bin Nan
The Canadian Journal of Statistics = Revue Canadienne De Statistique|June 4, 2025
Debiased lasso after sample splitting for estimation and inference in high-dimensional generalized linear modelsOmar Vazquez, Bin Nan
Statistica Sinica|February 12, 2014
Non-Asymptotic Oracle Inequalities for the High-Dimensional Cox Regression via LassoShengchun Kong, Bin Nan
Biometrical Journal. Biometrische Zeitschrift|March 5, 2008
Analysis of case-control age-at-onset data using a modified case-cohort methodBin Nan, Xihong Lin
Journal of Machine Learning Research : JMLR|January 22, 2024
Conditional Distribution Function Estimation Using Neural Networks for Censored and Uncensored DataBingqing Hu, Bin Nan
Lifetime Data Analysis|August 19, 2006
A hybrid Newton-type method for censored survival data using double weights in linear modelsMenggang Yu, Bin Nan
Annals 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 Nan
Pageof 26