Variable selection in parametric and semiparametric models by Lin, Bingqing

“…There are relatively less papers discussing model selection problems in some special but important parametric and semiparametric models, such as linear mixed-effects model, partially varying-coefficient single-index model and single-index-coefficient regression model. …”
Get full text

Semiparametric estimation of additive quantile regression models by two-fold penalty by Lian, Heng

“…In this article, we propose a model selection and semiparametric estimation method for additive models in the context of quantile regression problems. …”
Get full text
Get full text
Get full text

Semiparametric regression analysis of clustered survival data with semi-competing risks by Peng, Mengjiao, Xiang, Liming, Wang, Shanshan

“…To incorporate dependency within clusters and association between two types of event times, we propose a new flexible semiparametric modeling framework where a copula model is employed for the joint distribution of the nonterminal and terminal events, and their marginal distributions are modeled by Cox proportional hazards models with random effects. …”
Get full text
Get full text

Efficient Bayesian estimation and use of cut posterior in semiparametric hidden Markov models by Moss, D, Rousseau, J

“…Efficient estimators for the transition matrix are exhibited, and a semiparametric Bernstein-von Mises result is deduced. …”

Semiparametric sieve maximum likelihood estimation for interval censored data with/without cure fraction by Szabo, Zsolt

“…This thesis focuses on semiparametric sieve maximum likelihood esti- mation of interval censored survival data. …”
Get full text

Partially linear transformation cure models for interval-censored data by Hu, Tao, Xiang, Liming

“…There has been considerable progress in the development of semiparametric transformation models for regression analysis of time-to-event data. …”
Get full text
Get full text

Estimation by polynomial splines with variable selection in additive Cox models by Zhang, Shangli, Wang, Lichun, Lian, Heng

“…In this article, we consider penalized variable selection in additive Cox models based on (group) smoothly clipped absolute deviation penalty and hence widen the scope of applicability of penalized variable selection to semiparametric models for censored data.We demonstrate the asymptotic consistency in model selection and convergence rate in estimation. …”
Get full text
Get full text

Quantile regression for survival data with covariates subject to detection limits by Yu, Tonghui, Xiang, Liming, Wang, Huixia Judy

“…Existing methods for analyzing such data focus primarily on linear regression ignoring censored responses or semiparametric accelerated failure time models with covariates under detection limits (DL). …”
Get full text