Maximum Likelihood Estimation and Model Comparison for Mixtures of Structural Equation Models with Ignorable Missing Data. - Sik-Yum Lee; Xinyuan Song 001 (J. Classif., 2003)

Maximum likelihood estimation and model comparison of nonlinear structural equation models with continuous and polytomous variables. - Sik-Yum Lee; Xinyuan Song 001 (Comput. Stat. Data Anal., 2003)

Local Influence Analysis for Mixture of Structural Equation Models. - Xinyuan Song 001; Sik-Yum Lee (J. Classif., 2004)

Assessing local influence for nonlinear structural equation models with ignorable missing data. - Sik-Yum Lee; Bin Lu; Xinyuan Song 001 (Comput. Stat. Data Anal., 2006)

On Bayesian estimation and model comparison of an integrated structural equation model. - Sik-Yum Lee; Xinyuan Song 001 (Comput. Stat. Data Anal., 2008)

Bias optimality for multichain continuous-time Markov decision processes. - Xianping Guo; Xinyuan Song 001; Junyu Zhang (Oper. Res. Lett., 2009)

Mean-Variance Criteria for Finite Continuous-Time Markov Decision Processes. - Xianping Guo; Xinyuan Song 001 (IEEE Trans. Autom. Control., 2009)

Bayesian variable selection for disease classification using gene expression data. - Ai-Jun Yang; Xinyuan Song 001 (Bioinform., 2010)

Response to "Comments on 'Bayesian variable selection for disease classification using gene expression data'". - Xinyuan Song 001; Zhaohua Lu (Bioinform., 2011)

A mixture of generalized latent variable models for mixed mode and heterogeneous data. - Jing-Heng Cai; Xinyuan Song 001; Kwok-Hap Lam; Edward Hak-Sing Ip (Comput. Stat. Data Anal., 2011)

Performance Analysis for Controlled Semi-Markov Systems with Application to Maintenance. - Yonghui Huang; Xianping Guo; Xinyuan Song 001 (J. Optim. Theory Appl., 2011)

A Bayesian approach for generalized random coefficient structural equation models for longitudinal data with adjacent time effects. - Xinyuan Song 001; Nian-Sheng Tang; Sy-Miin Chow (Comput. Stat. Data Anal., 2012)

A criterion-based model comparison statistic for structural equation models with heterogeneous data. - Yun-Xian Li; Yutaka Kano; Jun-Hao Pan; Xinyuan Song 001 (J. Multivar. Anal., 2012)

Semiparametric transformation models with Bayesian P-splines. - Xinyuan Song 001; Zhaohua Lu (Stat. Comput., 2012)

Linear Programming and Constrained Average Optimality for General Continuous-Time Markov Decision Processes in History-Dependent Policies. - Xianping Guo; Yonghui Huang; Xinyuan Song 001 (SIAM J. Control. Optim., 2012)

Bayesian diagnostics of transformation structural equation models. - Ji Chen; Pengfei Liu; Xinyuan Song 001 (Comput. Stat. Data Anal., 2013)

A Bayesian semiparametric dynamic two-level structural equation model for analyzing non-normal longitudinal data. - Xinyuan Song 001; Fei Chen; Zhaohua Lu (J. Multivar. Anal., 2013)

Variable selection in high-dimensional quantile varying coefficient models. - Yanlin Tang; Xinyuan Song 001; Huixia Judy Wang; Zhongyi Zhu (J. Multivar. Anal., 2013)

First Passage Optimality for Continuous-Time Markov Decision Processes With Varying Discount Factors and History-Dependent Policies. - Xianping Guo; Xinyuan Song 001; Yi Zhang 027 (IEEE Trans. Autom. Control., 2014)

Analysis of a fixed center effect additive rates model for recurrent event data. - Haijin He; Deng Pan; Liuquan Sun; Yimei Li; Leslie L. Robison; Xinyuan Song 001 (Comput. Stat. Data Anal., 2017)

Bayesian local influence of semiparametric structural equation models. - Ming Ouyang; Xiaodong Yan; Ji Chen; Nian-Sheng Tang; Xinyuan Song 001 (Comput. Stat. Data Anal., 2017)

Composite quantile regression for correlated data. - Weihua Zhao; Heng Lian; Xinyuan Song 001 (Comput. Stat. Data Anal., 2017)

Bayesian regularized quantile structural equation models. - Xiang-Nan Feng; Yifan Wang; Bin Lu; Xinyuan Song 001 (J. Multivar. Anal., 2017)

Functional Sufficient Dimension Reduction for Functional Data Classification. - Guochang Wang; Xinyuan Song 001 (J. Classif., 2018)

Estimation and testing for time-varying quantile single-index models with longitudinal data. - Jianbo Li; Heng Lian; Xuejun Jiang; Xinyuan Song 001 (Comput. Stat. Data Anal., 2018)

Identification of local sparsity and variable selection for varying coefficient additive hazards models. - Lianqiang Qu; Xinyuan Song 001; Liuquan Sun (Comput. Stat. Data Anal., 2018)

Finite mixture of varying coefficient model: Estimation and component selection. - Mao Ye; Zhao-Hua Lu; Yimei Li; Xinyuan Song 001 (J. Multivar. Anal., 2019)

Bayesian Local Influence of Generalized Failure Time Models with Latent Variables and Multivariate Censored Data. - Ming Ouyang; Xinyuan Song 001 (J. Classif., 2020)

Bayesian bridge-randomized penalized quantile regression. - Yuzhu Tian; Xinyuan Song 001 (Comput. Stat. Data Anal., 2020)

Joint analysis of semicontinuous data with latent variables. - Xiaoqing Wang; Xiangnan Feng; Xinyuan Song 001 (Comput. Stat. Data Anal., 2020)

Continuous time hidden Markov model for longitudinal data. - Jie Zhou; Xinyuan Song 001; Liuquan Sun (J. Multivar. Anal., 2020)

Clusterwise functional linear regression models. - Ting Li; Xinyuan Song 001; Yingying Zhang; Hongtu Zhu; Zhongyi Zhu (Comput. Stat. Data Anal., 2021)

Deep Tobit networks: A novel machine learning approach to microeconometrics. - Jiaming Zhang 002; Zhanfeng Li; Xinyuan Song 001; Hanwen Ning (Neural Networks, 2021)

Varying-coefficient hidden Markov models with zero-effect regions. - Hefei Liu; Xinyuan Song 001; Baoxue Zhang (Comput. Stat. Data Anal., 2022)

Mixture additive hazards cure model with latent variables: Application to corporate default data. - Qi Yang; Haijin He; Bin Lu; Xinyuan Song 001 (Comput. Stat. Data Anal., 2022)

Consistent estimation of a joint model for multivariate longitudinal and survival data with latent variables. - Kai Kang; Xinyuan Song 001 (J. Multivar. Anal., 2022)

Order selection for regression-based hidden Markov model. - Yiqi Lin; Xinyuan Song 001 (J. Multivar. Anal., 2022)

Joint Modeling of Longitudinal Imaging and Survival Data. - Kai Kang; Xinyuan Song 001 (J. Comput. Graph. Stat., 2023)

Functional concurrent hidden Markov model. - Xiaoxiao Zhou; Xinyuan Song 001 (Stat. Comput., 2023)

Generative adversarial mediation network: A novel generative learning approach to causal mediation analysis. - Jiaming Zhang 002; Yiqi Lin; Xinyuan Song 001; Hanwen Ning (Knowl. Based Syst., 2023)

Online portfolio selection with predictive instantaneous risk assessment. - Wenzhi Xi; Zhanfeng Li; Xinyuan Song 001; Hanwen Ning (Pattern Recognit., 2023)

Semiparametric Probit Regression Model with General Interval-Censored Failure Time Data. - Yi Deng; Shuwei Li; Liuquan Sun; Xinyuan Song 001 (J. Comput. Graph. Stat., 2024)

Bayesian Heterogeneous Hidden Markov Models with an Unknown Number of States. - Yudan Zou; Yiqi Lin; Xinyuan Song 001 (J. Comput. Graph. Stat., 2024)

Composite expectile estimation in partial functional linear regression model. - Ping Yu; Xinyuan Song 001; Jiang Du 008 (J. Multivar. Anal., 2024)

Transformation models with informative partly interval-censored data. - Jingjing Jiang; Chunjie Wang; Deng Pan; Xinyuan Song 001 (Stat. Comput., 2024)

Bayesian tree-based heterogeneous mediation analysis with a time-to-event outcome. - Rongqian Sun; Xinyuan Song 001 (Stat. Comput., 2024)

Nonparametric quantile scalar-on-image regression. - Chuchu Wang; Xinyuan Song 001 (Comput. Stat. Data Anal., 2024)

Individualized causal mediation analysis with continuous treatment using conditional generative adversarial networks. - Cheng Huan; Xinyuan Song 001; Hongwei Yuan (Stat. Comput., 2024)

Distributed additive hazards regression analysis of multi-site current status data without using individual-level data. - Peiyao Huang; Shuwei Li; Xinyuan Song 001 (Stat. Comput., 2024)

Functional nonlinear principal component analysis. - Qingzhi Zhong; Xinyuan Song 001 (Comput. Stat. Data Anal., 2025)

Distance-based Clustering of Functional Data with Derivative Principal Component Analysis. - Ping Yu; Gongming Shi; Chunjie Wang; Xinyuan Song 001 (J. Comput. Graph. Stat., 2025)

Sparse functional varying-coefficient mixture regression. - Qingzhi Zhong; Xinyuan Song 001 (J. Multivar. Anal., 2025)

Interpretable Deep Regression Models with Interval-Censored Failure Time Data. - Changhui Yuan; Shishun Zhao; Shuwei Li; Xinyuan Song 001; Zhao Chen (CoRR, 2025)