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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 within-curve correlated observations. Cluster-specific mean functio…
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…
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…
Clustering Functional Data via Variational Inference
Chengqian Xian, Camila de Souza, John Jewell +1
Functional data analysis deals with data recorded densely over time (or any other continuum) with one or more observed curves per subject. Conceptually, functional data are continu…