移至標頭
移至導覽
移至內部
移至註腳
登入
幫助
English
研究資源
CUHK UPDates
論文庫
專家名錄
使用指引
關於我們
研究人員名單
> Professor Xinyuan SONG
主頁
研究成果
研究人員專頁
學系學部專頁
研究範圍
宋心遠教授
個人資料
職位/學系
教授
,
統計學系
ORCiD
0000-0002-4877-3200
中大研究成果
1/4
Bayesian bridge-randomized penalized quantile regression
(
2020
)
Bayesian local influence of generalized failure time models with latent variables and multivariate censored data
(
2020
)
Continuous time hidden Markov model for longitudinal data
(
2020
)
Fully Bayesian L1/2-penalized linear quantile regression analysis with autoregressive errors
(
2020
)
Joint analysis of semicontinuous data with latent variables
(
2020
)
Two-part hidden Markov models for semicontinuous longitudinal data with nonignorable missing covariates
(
2020
)
Additive mean residual life model with latent variables under right censoring
(
2019
)
Bayesian adaptive group lasso with semiparametric hidden Markov models
(
2019
)
Bayesian adaptive lasso for additive hazard regression with current status data
(
2019
)
Bayesian hidden Markov models for delineating the pathology of Alzheimer's
(
2019
)
Bayesian proportional hazards model with latent variables
(
2019
)
Financial literacy and household finances: A Bayesian two-part latent variable modeling approach
(
2019
)
Finite mixture of varying coefficient model: Estimation and component selection
(
2019
)
Likelihood ratio-type tests in weighted composite quantile regression of DTARCH models
(
2019
)
Variable selection in semiparametric nonmixture cure model with interval‐censored failure time data: An application to the prostate cancer screening study
(
2019
)
A joint modeling approach for longitudinal data with informative observation times and a terminal event
(
2018
)
Bayesian analysis of mixture structural equation models with an unknown number of components
(
2018
)
Bayesian Analysis of Semiparametric Hidden Markov Models With Latent Variables
(
2018
)
Bayesian Diagnostics of Hidden Markov Structural Equation Models with Missing Data
(
2018
)
Bayesian semiparametric failure time models for multivariate censored data with latent variables
(
2018
)
Estimation and testing for time-varying quantile single-index models with longitudinal data
(
2018
)
Functional sufficient dimension reduction for functional data classification
(
2018
)
Identification of local sparsity and variable selection for varying coefficient additive hazards models
(
2018
)
An additive-multiplicative mean residual life model for right censored data
(
2017
)
Analysis of a fixed center effect additive rates model for recurrent event data
(
2017
)
Analysis of proportional mean residual life model with latent variables
(
2017
)
Analysis of Semiparametric Mixed Hidden Markov Model with Longitudinal Data
(
2017
)
Bayesian adaptive lasso for ordinal regression with latent variables
(
2017
)
Bayesian local influence of semiparametric structural equation models
(
2017
)
Bayesian regularized multivariate generalized latent variable models
(
2017
)
Bayesian regularized quantile structural equation models
(
2017
)
Composite quantile regression for correlated data
(
2017
)
Hidden Markov latent variable models with multivariate longitudinal data
(
2017
)
An additive-multiplicative mean model for marker data contingent on recurrent event with an informative terminal event
(
2016
)
Bayesian analysis of transformation latent variable models with multivariate censored data
(
2016
)
Bayesian local influence of transformation latent variable models with multivariate censored data
(
2016
)
Bayesian Quantile Structural Equation Models
(
2016
)
Bayesian Semiparametric Hidden Markov models
(
2016
)
Bayesian semiparametric mixed hidden Markov models
(
2016
)
Efficient and Robust Estimation of GARCH Models
(
2016
)
Variable selection for frailty transformation models with application to diabetic complications
(
2016
)
Bayesian Local Influence of Semiparametric Structural Equation Models
(
2015
)
Bayesian Quantile Structural Equation Models
(
2015
)
Gestational weight gain is associated with short and long-term child health outcomes in Chinese: An analysis using structural equation modeling
(
2015
)
Regression Analysis of Additive Hazards Model With Latent Variables
(
2015
)
Structure detection of semiparametric structural equation models with Bayesian adaptive group lasso
(
2015
)
The Determinants of Capital Structure Choice for Chinese Listed Companies Based on Structural Equation Modeling Approach
(
2015
)
Threshold effect test in censored quantile regression
(
2015
)
Transformation Structural Equation Models With Highly Nonnormal and Incomplete Data
(
2015
)
Variable selection via composite quantile regression with dependent errors
(
2015
)
分享連結
上次更新時間 2020-24-04 於 11:09
分享連結
您的名稱*
您的電子郵件*
收件者名稱*
收件者電子郵件*
訊息
Auxilliary Information
不會儲存任何資訊或與任何第三方分享資訊。
Cancel
Our policy towards the use of cookies
All Clarivate Analytics websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.
Ok to Continue
Cookie Policy