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Found 3 papers, 2 papers with code
Logistic-beta processes for dependent random probabilities with beta marginals
However, there is limited work on flexible and computationally convenient stochastic process extensions for modelling dependent random probabilities.
Why the Rich Get Richer? On the Balancedness of Random Partition Models
Random partition models are widely used in Bayesian methods for various clustering tasks, such as mixture models, topic models, and community detection problems.
T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs
In models dealing with graph-structured data, multivariate parameters may not only exhibit sparse patterns but have structured sparsity and smoothness in the sense that both zero and non-zero parameters tend to cluster together.
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