Xin-Yuan Song, Ph.D.

Affiliations: 
2001 The Chinese University of Hong Kong, Hong Kong, Hong Kong 
Area:
Statistics, Behavioral Psychology
Google:
"Xin-Yuan Song"

Parents

Sign in to add mentor
Sik-yum Lee grad student 2001 Chinese University of Hong Kong
 (Bayesian analysis for complex structural equation models.)
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Feng X, Li T, Song X, et al. (2020) Bayesian Scalar on Image Regression With Nonignorable Nonresponse. Journal of the American Statistical Association. 115: 1574-1597
Liu H, Song X, Tang Y, et al. (2020) Bayesian quantile nonhomogeneous hidden Markov models. Statistical Methods in Medical Research. 962280220942802
Zhou J, Chen X, Song X, et al. (2020) A joint modeling approach for analyzing marker data in the presence of a terminal event. Biometrics
Zhou X, Kang K, Song X. (2020) Two-part hidden Markov models for semicontinuous longitudinal data with nonignorable missing covariates. Statistics in Medicine
Tian Y, Song X. (2020) Fully Bayesian $L_{1/2}$-penalized linear quantile regression analysis with autoregressive errors Statistics and Its Interface. 13: 271-286
Zhou J, Song X, Sun L. (2020) Continuous time hidden Markov model for longitudinal data Journal of Multivariate Analysis. 179: 104646
Wang X, Feng X, Song X. (2020) Joint analysis of semicontinuous data with latent variables Computational Statistics & Data Analysis. 151: 107005
Tian Y, Song X. (2020) Bayesian bridge-randomized penalized quantile regression Computational Statistics & Data Analysis. 144: 106876
Wang C, Li Q, Song X, et al. (2019) Bayesian adaptive lasso for additive hazard regression with current status data. Statistics in Medicine
Sun L, Li S, Wang L, et al. (2019) Variable selection in semiparametric nonmixture cure model with interval-censored failure time data: An application to the prostate cancer screening study. Statistics in Medicine
See more...