Functional clustering in nested designs: modeling variability in reproductive epidemiology studies

DOI10.1214/14-AOAS751zbMath1303.62040arXiv1411.5510OpenAlexW3103238870MaRDI QIDQ483995

David B. Dunson, Abel Rodríguez

Publication date: 17 December 2014

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1411.5510

zbMATH Keywords

nonparametric Bayesfunctional clusteringhierarchical functional datahormone profilenested Dirichlet process

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Random measures (60G57)

Related Items

Bayesian latent factor regression for multivariate functional data with variable selection, A Common Atoms Model for the Bayesian Nonparametric Analysis of Nested Data, Conditional functional clustering for longitudinal data with heterogeneous nonlinear patterns, A Bayesian semiparametric factor analysis model for subtype identification, Functional clustering methods for binary longitudinal data with temporal heterogeneity, Construction of jointly distributed random samples drawn from the beta two-parameter process, Functional clustering in nested designs: modeling variability in reproductive epidemiology studies, Mixture modeling on related samples by \(\psi\)-stick breaking and kernel perturbation, Latent nested nonparametric priors (with discussion), A two-stage Bayesian semiparametric model for novelty detection with robust prior information

Uses Software

• fda (R)

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