taehwa015
Survival analysis, Quantile regression, Dynamic treatment regimes
Sungshin Women's University
Pinned Repositories
AFT-Int
Interval-censored least-squares regression
AFT-sparse
A fast algorithm for the accelerated failure time model with high-dimensional time-to-event data
BanditsBook
Code for my book on Multi-Armed Bandit Algorithms
BJ-DC
Semiparametric least-squares regression with doubly-censored data
contextual
Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies
Cox_PEL
The R code for the penalized empirical likelihood approach under the Cox model
CR-WLS
Weighted least-squares regression with competing risks data
drRML
dsbook
Repository for data science book
SurvDTR
taehwa015's Repositories
taehwa015/drRML
taehwa015/SurvDTR
taehwa015/CR-WLS
Weighted least-squares regression with competing risks data
taehwa015/AFT-Int
Interval-censored least-squares regression
taehwa015/AFT-sparse
A fast algorithm for the accelerated failure time model with high-dimensional time-to-event data
taehwa015/BanditsBook
Code for my book on Multi-Armed Bandit Algorithms
taehwa015/BJ-DC
Semiparametric least-squares regression with doubly-censored data
taehwa015/contextual
Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies
taehwa015/Cox_PEL
The R code for the penalized empirical likelihood approach under the Cox model
taehwa015/dsbook
Repository for data science book
taehwa015/FastPseudo
FastPseudo
taehwa015/ICQR
taehwa015/Multi-Armed-Bandit-Algorithms
Python implementation of UCB, EXP3 and Epsilon greedy algorithms
taehwa015/r4ds
R for data science: a book
taehwa015/rankIC
taehwa015/RSAVS
An R package for robust subgroup analysis and variable selection.
taehwa015/smlePH