Bayesian nonparametric modeling for functional analysis of variance

DOI10.1007/s10463-013-0436-7zbMath1334.62043OpenAlexW2005342510MaRDI QIDQ457260

XuanLong Nguyen, Alan E. Gelfand

Publication date: 26 September 2014

Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10463-013-0436-7

zbMATH Keywords

Gaussian processesDirichlet processeshierarchical modelsglobal and local clusteringrandom distributions

Mathematics Subject Classification ID

Random fields; image analysis (62M40) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Nonparametric estimation (62G05) Bayesian inference (62F15) Random measures (60G57) Analysis of variance and covariance (ANOVA) (62J10)

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Uses Software

• fda (R)
• spBayes

Cites Work

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• Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems
• Interpolation of spatial data. Some theory for kriging
• Functional data analysis
• Continuity properties for random fields
• Convergence of latent mixing measures in finite and infinite mixture models
• Spike and slab variable selection: frequentist and Bayesian strategies
• Nonparametric functional data analysis. Theory and practice.
• A Bayesian analysis of some nonparametric problems
• Bayesian functional ANOVA modeling using Gaussian process prior distributions
• Inference of global clusters from locally distributed data
• Hybrid Dirichlet Mixture Models for Functional Data
• The Dirichlet labeling process for clustering functional data
• Wavelet-based Functional Mixed Models
• Hierarchical Dirichlet Processes
• Bayesian nonparametric functional data analysis through density estimation
• Subjective Likelihood for the Assessment of Trends in the Ocean's Mixed-Layer Depth
• Smoothing Spline Models for the Analysis of Nested and Crossed Samples of Curves
• An ANOVA Model for Dependent Random Measures
• Efficient Semiparametric Marginal Estimation for Longitudinal/Clustered Data
• Bayesian Nonparametric Spatial Modeling With Dirichlet Process Mixing