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03/26/2022
Model Selection for Maternal Hypertensive Disorders with Symmetric Hierarchical Dirichlet Processes
Hypertensive disorders of pregnancy occur in about 10 around the world. ...
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01/18/2022
Flexible clustering via hidden hierarchical Dirichlet priors
The Bayesian approach to inference stands out for naturally allowing bor...
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10/19/2021
BNPdensity: Bayesian nonparametric mixture modeling in R
Robust statistical data modelling under potential model mis-specificatio...
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09/14/2021
A Wasserstein index of dependence for random measures
Nonparametric latent structure models provide flexible inference on dist...
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07/21/2021
Inner spike and slab Bayesian nonparametric models
Discrete Bayesian nonparametric models whose expectation is a convex lin...
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01/19/2021
Asymptotic behavior of the number of distinct values in a sample from the geometric stick-breaking process
Discrete random probability measures are a key ingredient of Bayesian no...
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01/15/2018
Latent nested nonparametric priors
Discrete random structures are important tools in Bayesian nonparametric...
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06/08/2016
