An enriched mixture model for functional clustering
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Publication:6581478
DOI10.1002/asmb.2736MaRDI QIDQ6581478
Publication date: 30 July 2024
Published in: Applied Stochastic Models in Business and Industry (Search for Journal in Brave)
Cites Work
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- Model-based clustering based on sparse finite Gaussian mixtures
- Asymptotic Behaviour of the Posterior Distribution in Overfitted Mixture Models
- Functional clustering in nested designs: modeling variability in reproductive epidemiology studies
- Ferguson distributions via Polya urn schemes
- Bayesian cluster analysis: point estimation and credible balls (with discussion)
- Comparing clusterings -- an information based distance
- Functional data analysis.
- A Bayesian analysis of some nonparametric problems
- An enriched conjugate prior for Bayesian nonparametric inference
- Hybrid Dirichlet Mixture Models for Functional Data
- Random Measures, Theory and Applications
- Bayesian Treed Gaussian Process Models With an Application to Computer Modeling
- Bayesian Hierarchical Functional Data Analysis Via Contaminated Informative Priors
- Functional Clustering by Bayesian Wavelet Methods
- Unsupervised Curve Clustering using B‐Splines
- Clustering for Sparsely Sampled Functional Data
- Markov chain Monte Carlo in approximate Dirichlet and beta two-parameter process hierarchical models
- Gibbs Sampling Methods for Stick-Breaking Priors
- Enriched Stick-Breaking Processes for Functional Data
- Bayesian Semiparametric Joint Models for Functional Predictors
- A General Framework for Updating Belief Distributions
- On the Pitman–Yor process with spike and slab base measure
- Bayesian Inference on Changes in Response Densities Over Predictor Clusters
- CATS
- A Quantitative Study of Gene Regulation Involved in the Immune Response of Anopheline Mosquitoes
- Improved criteria for clustering based on the posterior similarity matrix
- Variational inference for Dirichlet process mixtures
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