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Bayesian Statistics

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Bayesian Statistics

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Research Frontiers in Bayesian Nonparametric Mixture Models

Development of Dirichlet process and Pitman-Yor process mixtures for flexible clustering with unknown component numbers.

Infinite Mixture Models in High-Dimensional Spaces
Dirichlet Process Priors Beyond Exchangeability
Adaptive Clustering Through Nonparametric Mixture Learning
Hierarchical Nonparametric Mixtures for Nested Data Structures
Posterior Computation in Unbounded Mixture Models
Stick-Breaking Processes and Their Convergence Properties
Mixture Model Selection Without Parametric Constraints
Dependent Dirichlet Processes in Temporal and Spatial Domains
Bayesian Nonparametric Mixtures for Multimodal Learning
Identifiability and Label Switching in Infinite Mixtures

All Bayesian Statistics PhD categories