Ramsés H. Mena - researchr alias

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Viewing Publication 1 - 11 from 11

2023

Bayesian nonparametric hypothesis testing for longitudinal data analysisLuz Adriana Pereira, Luis Gutiérrez, Daniel Taylor-Rodríguez, Ramsés H. Mena. csda, 179:107629, 2023. [doi]

On the estimation of partially observed continuous-time Markov chainsAlan Riva-Palacio, Ramsés H. Mena, Stephen G. Walker. cstat, 38(3):1357-1389, September 2023. [doi]

2020

On the inferential implications of decreasing weight structures in mixture modelsPierpaolo De Blasi, Asael Fabian Martínez, Ramsés H. Mena, Igor Prünster. csda, 147:106940, 2020. [doi]

2019

Modal posterior clustering motivated by Hopfield's networkRuth Fuentes-García, Ramsés H. Mena, Stephen G. Walker. csda, 137:92-100, 2019. [doi]

2016

A time dependent Bayesian nonparametric model for air quality analysisLuis Gutiérrez, Ramsés H. Mena, Matteo Ruggiero. csda, 95:161-175, 2016. [doi]

2015

Are Gibbs-Type Priors the Most Natural Generalization of the Dirichlet Process?Pierpaolo De Blasi, Stefano Favaro, Antonio Lijoi, Ramsés H. Mena, Igor Prünster, Matteo Ruggiero. pami, 37(2):212-229, 2015. [doi]

2014

Bayesian nonparametric classification for spectroscopy dataLuis Gutiérrez, Eduardo Gutiérrez-Peña, Ramsés H. Mena. csda, 78:56-68, 2014. [doi]

Book Review - J.B. Kadane, Principles of Uncertainty, Texts in Statistical Science Series, Chapman & Hall/CRC, 2011. pp. xxviii+475, ISBN 978-1-4398-6161-5Ramsés H. Mena. classification, 31(2):270-271, 2014. [doi]

2010

A Probability for Classification Based on the Dirichlet Process Mixture ModelRuth Fuentes-García, Ramsés H. Mena, Stephen G. Walker. classification, 27(3):389-403, 2010. [doi]

2008

A Bayesian Nonparametric Approach for Comparing Clustering Structures in EST LibrariesAntonio Lijoi, Ramsés H. Mena, Igor Prünster. jcb, 15(10):1315-1327, 2008. [doi]

2007

A Bayesian nonparametric method for prediction in EST analysisAntonio Lijoi, Ramsés H. Mena, Igor Prünster. bmcbi, 8, 2007. [doi]

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