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20092026
most citedAre Gibbs-type priors the most natural generalization of the Dirichlet process?

162 citations · 216 across the 18 of their papers we have counts for

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5 papers · 1 filter

stat.ME2025

Exact two-stage finite-mixture representations for species sampling processes

Ramsés H. Mena, Christos Merkatas, Theodoros Nicoleris +1

Discrete random probability measures are central to Bayesian inference, particularly as priors for mixture modeling and clustering. A broad and unifying class is that of proper spe…

stat.ME2022

Clustering constrained on linear networks

Asael Fabian Martínez, Somnath Chaudhuri, Carlos Díaz-Avalos +3

An unsupervised classification method for point events occurring on a network of lines is proposed. The idea relies on the distributional flexibility and practicality of random par…

stat.ME2018

On a flexible construction of a negative binomial model

Fabrizio Leisen, Ramsés H. Mena, Freddy Palma Mancilla +1

This work presents a construction of stationary Markov models with negative-binomial marginal distributions. A simple closed form expression for the corresponding transition probab…

stat.ME2017

Discussions of the paper "Sparse graphs using exchangeable random measures" by F. Caron and E. B. Fox

Julyan Arbel, Marco Battiston, Stefano Favaro +5

These are written discussions of the paper "Sparse graphs using exchangeable random measures" by François Caron and Emily B. Fox, contributed to the Journal of the Royal Statistica…

stat.ME2014★ 19 cited

Dynamic density estimation with diffusive Dirichlet mixtures

Ramsés H. Mena, Matteo Ruggiero

We introduce a new class of nonparametric prior distributions on the space of continuously varying densities, induced by Dirichlet process mixtures which diffuse in time. These sel…