Publications in refereed journals

  1. Gutiérrez, L., Mena, R.H., Díaz-Avalos, C. (2018). Linear models for statistical shape analysis based on parametrized closed curves. Statistical Papers. In Press.
  2. Anzarut, M., Mena, R. H., and Prünster, I.. (2017). Poisson Driven Stationary Markov Models Journal of Business and Economic Statistics. In press.
  3. Anzarut, M. and Mena, R. H., (2017). Harris process to model stochastic volatility Econometrics and Statistics. In press.
  4. Gutiérrez, L., Mena, R.H., Ruggiero, M. (2016). time dependent Bayesian nonparametric model for air quality analysis. Computational Statistics and Data Analysis. 95, 161-175.
  5. Mena, R.H., Ruggiero, M. (2016). Dynamic density estimation with diffusive Dirichlet mixtures. Bernoulli. 22, 901-926.
  6. Mena, R.H. and Walker, S.G. (2015). On the Bayesian mixture model and identifiability Journal of Computational and Graphical Statistics. 24, 1155-1169.
  7. Coen, A. and Mena, R.H. (2015). Ruin probabilities for Bayesian exchanegable claims processes. Journal of Statistical Planning and Inference. 166, 102-115.
  8. De Blasi, P., Favaro, S., Lijoi, A., Mena, R., Prünster, I.. and Ruggiero, M. (2015). Are Gibbs-type priors the most natural generalization of the Dirichlet process? IEEE Transactions on Pattern Analysis and Machine Intelligence. 37, 212-229. (pdf)
  9. Martinez, A.F. and Mena, R. (2014). On a nonparametric change point detection model in Markovian regimes. Bayesian Analysis. 9, 823-858.
  10. Gutiérrez, L., Gutiérrez-Peńa, E and Mena, R.H., (2014). Bayesian nonparametric classification for spectroscopy data. Computational Statistics and Data Analysis. 78, 56-68.
  11. Mena, R.H. and Walker, S.G. (2012). An EPPF from independent sequences of geometric random variables. Statistics and Probability Letters. 82, 1059-1066.
  12. Mena, R.H., Ruggiero, M. and Walker, S.G. (2011). Geometric stick-breaking processes for continuous-time Bayesian nonparametric modeling. Journal of Statistical Planning and Inference. 141, 3217-3230. (pdf)
  13. Fuentes-García, R., Mena, R.H. and Walker, S.G. (2010). A probability for classification based on the mixture of Dirichlet process model. Journal of Classification . 27, 389-403.(pdf)
  14. Mena, R.H. and Nieto-Barajas, L. E. (2010). Exchangeble claim sizes in a compound Poisson type process. Applied Stochastic Models in Business and Industry. 26, 737-757. (pdf)
  15. Fuentes-García, R., Mena, R.H. and Walker, S.G. (2010). A new Bayesian nonparametric mixture model. Communications in Statistics-Simulation and Computation. 39, 669-682.(pdf)
  16. Mena, R.H. and Walker, S.G. (2009). On a construction of Markov models in continuous time. Metron. 67, 303-323. (pdf)
  17. Favaro, S., Lijoi, A., Mena, R.H. and Prünster, I. (2009). Bayesian nonparametric inference for species variety with two parameter Poisson-Dirichlet process prior. Journal of the Royal Statistical Society Series B. 71, 993-1008. (pdf)
  18. Fuentes-García, R., Mena, R.H. and Walker, S.G. (2009). A nonparametric dependent process for Bayesian regression. Statistics and Probability Letters. 79, 1112-1119. (pdf)
  19. Contreras-Cristán, A., Mena, R.H. and Walker, S.G. (2009). On the construction of stationary AR(1) models via Bayesian nonparametric predictive distributions. Statistics. 43, 227-240. (pdf)
  20. Lijoi, A., Mena, R.H., Prünster, I. (2008). A Bayesian nonparametric approach for comparing clustering structures in EST libraries. Journal of Computational Biology, 15, 1315-1327. (pdf)
  21. Lijoi, A., Mena, R.H. and Prünster, I. (2007). A Bayesian nonparametric method for prediction in EST analysis. BMC Bioinformatics. 8:339. (pdf)
  22. Mena, R.H. and Walker, S.G. (2007). Stationary Mixture Transition Distribution (MTD) models via predictive distributions. Journal of Statistical Planning and Inference, 137, 3103-3112. (pdf)
  23. Lijoi, A., Mena, R.H. and Prünster, I. (2007). Controlling the reinforcement in Bayesian nonparametric mixture models. Journal of the Royal Statistical Society Series B. 69, 715-740. (pdf)
  24. Mena, R.H. and Walker, S.G. (2007). On the stationary version of the generalized hyperbolic ARCH model. Annals of the Institute of Statistical Mathematics, 59, 325-348. (pdf)
  25. Lijoi, A., Mena, R.H. and Prünster, I. (2007). Bayesian nonparametric estimation of the probability of discovering new species. Biometrika. 94, 769-786. (pdf)
  26. Escarela, G., Mena, R.H. and Castillo-Morales, A. (2006). A flexible class of parametric transition regression models based on copulas: application to poliomyelitis incidence.  Statistical Methods in Medical Research, 15, 593-609.
  27. Mena, R.H. and Walker, S.G. (2005). Stationary autoregressive models via a Bayesian nonparametric approach. Journal of Time Series Analysis, 26, 789-805. (pdf)
  28. Lijoi, A., Mena, R.H. and Prünster, I. (2005). Bayesian nonparametric analysis for a generalized Dirichlet process prior. Statistical Inference for Stochastic Processes, 8, 283-309. (pdf)
  29. Lijoi, A., Mena, R.H. and Prünster, I. (2005). Hierarchical mixture modelling with normalized inverse Gaussian priors. Journal of the American Statistical Association, 100, 278-1291. (pdf)
  30. Mena, R.H. and Walker, S.G. (2004). A density function connected with a non-negative self-decomposable random variable. Journal of Statistical Computation and Simulation, 74, 765-775. (pdf)

Book chapters

  1. Mena, R.H. (2013). Geometric Weight Priors and their Applications in Bayesian Nonparametrics. In Bayesian Theory and Applications. Damien, P., Dellaportas, P., Polson, N.G. and Stephen, D.A. Eds. Oxford University Press. ISBN 10: 0199695601.

Proceedings

  1. Gutierrez Inostroza, L., Mena, R.H and Ruggiero, M. (2016). On GEM diffusive mixtures. In JSM Proceedings 2016, Section on Nonparametric Statistics. Alexandria, VA: American Statistical Association.
  2. Nava, C., Mena, R.H and Prünster, I. (2013). On some stationary models: Construction and Estimation. In "The Contribution of Young Researchers to Bayesian Statistics: Proceedings of BAYSM2013." (Springer Proceedings in Mathematics & Statistics 2013), 7pp.
  3. Nava, C., Mena, R.H and Prünster, I. (2013). On Stationary Markov Models: a Poisson-driven approach. In "Proceedings of the 8th Conference on Statistical Computing and Complex Systems - SCo 2013." (electronic), 6pp.
  4. De Blasi, P., Favaro, S., Lijoi, A., Mena, R.H. and Prünster, I. (2012). Two tales about Bayesian nonparametric modeling. In "JSM Proceedings 2012: Section of Bayesian Statistical Science" (Alexandria, VA: American Statistical Association), 11pp.
  5. Favaro, S., Lijoi, A., Mena, R.H. and Prünster, I. (2011). On some issues related to species sampling problems. In "Proceedings of the 7th Conference on Statistical Computing and Complex Systems - SCo 2011" (Padova, 19-21 September 2011), 9pp. ISBN 978-88-6129-753-1
  6. Mena, R.H. and Prünster, I. (2007). Alcune considerazioni sulle elezioni presidenziali messicane del 2006. SIS Magazine. (Electronic)
  7. Lijoi, A., Mena, R.H. and Prünster, I. (2006). Bayesian clustering in nonparametric hierarchical mixture models. Proceedings of XLIII Meeting of the Italian Statistical Society, Vol. I, 449-460.
  8. Escarela, G., Mena, R.H. and Castillo-Morales, A. (2006). Modelling Non-Gaussian Time Series with a Mixture Copula Transition Model. Proceedings of the 21st International Workshop on Statistical Modelling. Galway, Irland, pp. 164-171.
  9. Contreras-Cristán, A., Mena, R.H. and Walker, S.G. (2006). Acerca de la construcción de modelos AR(1) utilizando densidades predictivas que emergen de la estadística Bayesiana no paramétrica. Memoria del XX foro nacional de estadística INEGI-AME. 17-24.

Other publications

  1. Lijoi, A., Mena, R.H. and Prünster, I. (2017). Discussion of "Sparse graphs using exchangeable random measures" by F. Caron and E. Fox. Journal of the Royal Statistical Society-Series B. Forthcoming
  2. Mena, R.H. (2014). Book Review "Principles of uncertainty by J.K Kadane (2011). Texts in Statistical Science Series, Chapman and Hall/CRC". Journal of Classification. Vol. 31, No. 2, p. 270-271.
  3. Mena, R.H. (2003). Lenguaje de programación matricial Ox. DATOS Boletín de la Asociación Mexicana de Estadística. 25.
  4. Mena, R.H. (2003). Un ejemplo en Ox. DATOS Boletín de la Asociación Mexicana de Estadística. 26.

Books (volumes edited)

  1. Mena, R.H. and Pardo, J.C. and Rivero, V. and Bravo, G.U. (Eds). (2015) XI Symposium on Probability and Stochastic Processes. Progress in Probability series by Birkhäuser. ISBN 978-3-319-13983-8
  2. Hernández, D.C. and Mena, R.H. (Eds). (2013) Volumen en conmemoración del Ańo Internacional de Estadística. Boletín de la Sociedad Matemática Mexicana, Vol. 19, no. 2. ISSN: 2296--4495.
  3. Contreras-Cristán, A., Domínguez-Molina, J.A., Estrada, E. and Mena, R.H. (Eds) (2005) Memorias del XX Foro Nacional de Estadística. INEGI. ISBN 978-13-5055-3
  4. Estrada, E., Martínez, A.F., Mena, R.H. and Nieto-Barajas, L. E. (Eds) (2007) Memorias del XXII Foro Nacional de Estadística. INEGI. ISBN 970-13-4692-0

My research has been supported by

conacyt dgapa ame isba
carlo alberto banff
bernoulli decastro iimas

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