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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.AP2021★ 3 cited

COVID-19 Clinical footprint to infer about mortality

Carlos E. Rodríguez, Ramsés H. Mena

Information of 1.6 million patients identified as SARS-CoV-2 positive in Mexico is used to understand the relationship between comorbidities, symptoms, hospitalizations and deaths…

stat.AP2020★ 1 cited

A Copula-based Fully Bayesian Nonparametric Evaluation of Cardiovascular Risk Markers in the Mexico City Diabetes Study

Claudia Wehrhahn, Ruth Fuentes-García, Ramsés H. Mena +3

Cardiovascular disease lead the cause of death world wide and several studies have been carried out to understand and explore cardiovascular risk markers in normoglycemic and diabe…

stat.AP2019★ 4 cited

Modeling failures times with dependent renewal type models via exchangeability

Arrigo Coen, Luis Gutiérrez, Ramsés H. Mena

Failure times of a machinery cannot always be assumed independent and identically distributed, e.g. if after reparations the machinery is not restored to a same-as-new condition. F…

stat.AP2016

A Harris process to model stochastic volatility

Michelle Anzarut, Ramses H. Mena

We present a tractable non-independent increment process which provides a high modeling flexibility. The process lies on an extension of the so-called Harris chains to continuous t…

stat.AP2009★ 2 cited

A probability for classification based on the mixture of Dirichlet process model

Ruth Fuentes-Garcia, Ramses H Mena, Stephen G Walker

In this paper, we provide an explicit probability distribution for classification purposes. It is derived from the Bayesian nonparametric mixture of Dirichlet process model, but wi…