Adaptive Functional Clustering with Structured Dependence via Variational Inference
A fully adaptive Bayesian procedure for functional clustering is proposed that addresses limitations through Dirichlet process priors, adaptive smoothness control, and flexible covariance modeling and provides a unified Bayesian framework for functional clustering and cluster-specific mean function estimation in the pr...