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04/05/2023
Wasserstein Principal Component Analysis for Circular Measures
We consider the 2-Wasserstein space of probability measures supported on...
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03/31/2023
Transform-scaled process priors for trait allocations in Bayesian nonparametrics
Completely random measures (CRMs) provide a broad class of priors, argua...
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03/27/2023
Random measure priors in Bayesian frequency recovery from sketches
Given a lossy-compressed representation, or sketch, of data with values ...
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03/04/2023
Bayesian clustering of high-dimensional data via latent repulsive mixtures
Model-based clustering of moderate or large dimensional data is notoriou...
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02/17/2023
Normalized Random Meaures with Interacting Atoms for Bayesian Nonparametric Mixtures
The study of almost surely discrete random probability measures is an ac...
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05/31/2022
Normalized Latent Measure Factor Models
We propose a methodology for modeling and comparing probability distribu...
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05/17/2022
BayesMix: Bayesian Mixture Models in C++
We describe BayesMix, a C++ library for MCMC posterior simulation for ge...
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03/23/2022
Bayesian Nonparametric Vector Autoregressive Models via a Logit Stick-breaking Prior: an Application to Child Obesity
Overweight and obesity in adults are known to be associated with risks o...
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12/20/2021
Bayesian nonparametric model based clustering with intractable distributions: an ABC approach
Bayesian nonparametric mixture models offer a rich framework for model b...
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07/20/2021
JAGS, NIMBLE, Stan: a detailed comparison among Bayesian MCMC software
The aim of this work is the comparison of the performance of the three p...
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01/22/2021
Projected Statistical Methods for Distributional Data on the Real Line with the Wasserstein Metric
We present a novel class of projected methods, to perform statistical an...
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11/12/2020
MCMC computations for Bayesian mixture models using repulsive point processes
Repulsive mixture models have recently gained popularity for Bayesian cl...
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07/29/2020
Spatially dependent mixture models via the Logistic Multivariate CAR prior
We consider the problem of spatially dependent areal data, where for eac...
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05/20/2020
The semi-hierarchical Dirichlet Process and its application to clustering homogeneous distributions
Assessing homogeneity of distributions is an old problem that has receiv...
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07/17/2019