3 papers
stat.ME2026
Variational Inference for Functional Data Clustering via Dirichlet Process Mixtures with Correlated Errors
Chengqian Xian
We propose a Bayesian model-based approach for clustering functional data with an unknown number of clusters and temporally correlated observations. Cluster-specific mean functions…
stat.ME2024
Fast variational Bayesian inference for correlated survival data: an application to invasive mechanical ventilation duration analysis
Chengqian Xian, Camila P. E. de Souza, Wenqing He +2
Correlated survival data are prevalent in various clinical settings and have been extensively discussed in literature. One of the most common types of correlated survival data is c…
stat.ME2023
Variational Bayesian analysis of survival data using a log-logistic accelerated failure time model
Chengqian Xian, Camila P. E. de Souza, Wenqing He +2
The log-logistic regression model is one of the most commonly used accelerated failure time (AFT) models in survival analysis, for which statistical inference methods are mainly es…