Xinyuan Song

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
Nonparametric quantile scalar-on-image regression.
Comput. Stat. Data Anal., March, 2024

Bayesian tree-based heterogeneous mediation analysis with a time-to-event outcome.
Stat. Comput., February, 2024

Transformation models with informative partly interval-censored data.
Stat. Comput., February, 2024

2023
Online portfolio selection with predictive instantaneous risk assessment.
Pattern Recognit., December, 2023

Generative adversarial mediation network: A novel generative learning approach to causal mediation analysis.
Knowl. Based Syst., December, 2023

Functional concurrent hidden Markov model.
Stat. Comput., June, 2023

Joint Modeling of Longitudinal Imaging and Survival Data.
J. Comput. Graph. Stat., April, 2023

A design of Convolutional Neural Network model for the Diagnosis of the COVID-19.
CoRR, 2023

2022
Order selection for regression-based hidden Markov model.
J. Multivar. Anal., 2022

Consistent estimation of a joint model for multivariate longitudinal and survival data with latent variables.
J. Multivar. Anal., 2022

Ultrashort-Term Heat Load Prediction for Heat Exchange Stations Based on Dual-Source Data Feature Fusion.
IEEE Internet Things J., 2022

Mixture additive hazards cure model with latent variables: Application to corporate default data.
Comput. Stat. Data Anal., 2022

Varying-coefficient hidden Markov models with zero-effect regions.
Comput. Stat. Data Anal., 2022

2021
Deep Tobit networks: A novel machine learning approach to microeconometrics.
Neural Networks, 2021

Clusterwise functional linear regression models.
Comput. Stat. Data Anal., 2021

2020
Continuous time hidden Markov model for longitudinal data.
J. Multivar. Anal., 2020

Joint analysis of semicontinuous data with latent variables.
Comput. Stat. Data Anal., 2020

Bayesian bridge-randomized penalized quantile regression.
Comput. Stat. Data Anal., 2020

Bayesian Local Influence of Generalized Failure Time Models with Latent Variables and Multivariate Censored Data.
J. Classif., 2020

2019
Finite mixture of varying coefficient model: Estimation and component selection.
J. Multivar. Anal., 2019

2018
Identification of local sparsity and variable selection for varying coefficient additive hazards models.
Comput. Stat. Data Anal., 2018

Estimation and testing for time-varying quantile single-index models with longitudinal data.
Comput. Stat. Data Anal., 2018

Functional Sufficient Dimension Reduction for Functional Data Classification.
J. Classif., 2018

2017
Bayesian regularized quantile structural equation models.
J. Multivar. Anal., 2017

Composite quantile regression for correlated data.
Comput. Stat. Data Anal., 2017

Bayesian local influence of semiparametric structural equation models.
Comput. Stat. Data Anal., 2017

Analysis of a fixed center effect additive rates model for recurrent event data.
Comput. Stat. Data Anal., 2017

2014
First Passage Optimality for Continuous-Time Markov Decision Processes With Varying Discount Factors and History-Dependent Policies.
IEEE Trans. Autom. Control., 2014

2013
Variable selection in high-dimensional quantile varying coefficient models.
J. Multivar. Anal., 2013

A Bayesian semiparametric dynamic two-level structural equation model for analyzing non-normal longitudinal data.
J. Multivar. Anal., 2013

Bayesian diagnostics of transformation structural equation models.
Comput. Stat. Data Anal., 2013

2012
Linear Programming and Constrained Average Optimality for General Continuous-Time Markov Decision Processes in History-Dependent Policies.
SIAM J. Control. Optim., 2012

Semiparametric transformation models with Bayesian P-splines.
Stat. Comput., 2012

A criterion-based model comparison statistic for structural equation models with heterogeneous data.
J. Multivar. Anal., 2012

A Bayesian approach for generalized random coefficient structural equation models for longitudinal data with adjacent time effects.
Comput. Stat. Data Anal., 2012

2011
Performance Analysis for Controlled Semi-Markov Systems with Application to Maintenance.
J. Optim. Theory Appl., 2011

A mixture of generalized latent variable models for mixed mode and heterogeneous data.
Comput. Stat. Data Anal., 2011

Response to "Comments on 'Bayesian variable selection for disease classification using gene expression data'".
Bioinform., 2011

2010
Bayesian variable selection for disease classification using gene expression data.
Bioinform., 2010

2009
Mean-Variance Criteria for Finite Continuous-Time Markov Decision Processes.
IEEE Trans. Autom. Control., 2009

Bias optimality for multichain continuous-time Markov decision processes.
Oper. Res. Lett., 2009

2008
On Bayesian estimation and model comparison of an integrated structural equation model.
Comput. Stat. Data Anal., 2008

2006
Assessing local influence for nonlinear structural equation models with ignorable missing data.
Comput. Stat. Data Anal., 2006

2004
Local Influence Analysis for Mixture of Structural Equation Models.
J. Classif., 2004

2003
Maximum likelihood estimation and model comparison of nonlinear structural equation models with continuous and polytomous variables.
Comput. Stat. Data Anal., 2003

Maximum Likelihood Estimation and Model Comparison for Mixtures of Structural Equation Models with Ignorable Missing Data.
J. Classif., 2003


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