Mario Beraha | DeepAI

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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...

0 Mario Beraha, et al. ∙

∙ 03/31/2023

Transform-scaled process priors for trait allocations in Bayesian nonparametrics

Completely random measures (CRMs) provide a broad class of priors, argua...

0 Mario Beraha, et al. ∙

∙ 03/27/2023

Random measure priors in Bayesian frequency recovery from sketches

Given a lossy-compressed representation, or sketch, of data with values ...

0 Mario Beraha, et al. ∙

∙ 03/04/2023

Bayesian clustering of high-dimensional data via latent repulsive mixtures

Model-based clustering of moderate or large dimensional data is notoriou...

0 Lorenzo Ghilotti, et al. ∙

∙ 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...

0 Mario Beraha, et al. ∙

∙ 05/31/2022

Normalized Latent Measure Factor Models

We propose a methodology for modeling and comparing probability distribu...

0 Mario Beraha, et al. ∙

∙ 05/17/2022

BayesMix: Bayesian Mixture Models in C++

We describe BayesMix, a C++ library for MCMC posterior simulation for ge...

0 Mario Beraha, et al. ∙

∙ 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...

0 Mario Beraha, et al. ∙

∙ 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...

0 Mario Beraha, et al. ∙

∙ 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...

0 Mario Beraha, et al. ∙

∙ 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...

0 Matteo Pegoraro, et al. ∙

∙ 11/12/2020

MCMC computations for Bayesian mixture models using repulsive point processes

Repulsive mixture models have recently gained popularity for Bayesian cl...

0 Mario Beraha, et al. ∙

∙ 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...

0 Mario Beraha, et al. ∙

∙ 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...

0 Mario Beraha, et al. ∙

∙ 07/17/2019

Feature Selection via Mutual Information: New Theoretical Insights

Mutual information has been successfully adopted in filter feature-selec...

0 Mario Beraha, et al. ∙

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