Papers
- De la Horra J. and Rodríguez-Bernal M. T. (1997). Asymptotic behaviour of the posterior predictive p-values. Communication in Statistics: Theory and Methods 26, 2689-2699.
- De la Horra J. and Rodríguez-Bernal M. T. (1999). The posterior predictive p-value for the problem of goodness of fit. Test 8, 117-128.
- De la Horra J. and Rodríguez-Bernal M. T. (1999). The posterior predictive p-value: an alternative to the classical p-value. Revista de la Real academia de ciencias exactas, físicas y naturales 93, 321-328.
- De la Horra J. and Rodríguez-Bernal M. T. (2000). Optimality of the posterior predictive p-value based on the posterior odds. Communication in Statistics: Theory and Methods 29, 181-192.
- De la Horra J. and Rodríguez-Bernal M. T. (2001). Posterior predictive p-values: what they are and what they are not. Test 10, 75-86.
- De la Horra J. and Rodríguez-Bernal M. T. (2003). Bayesian robustness of the posterior predictive p-value. Communication in Statistics: Theory and Methods 32, 1493-1503.
- De la Horra J. and Rodríguez-Bernal M. T. (2003). Coherence of the posterior predictive p-value based on the posterior odds. Sankhya 65, 501-512.
- De
la Horra J. and Rodríguez-Bernal M. T. (2005). Bayesian model
selection: a predictive approach with losses based on distances L1 and
L2. Statistics and Probability Letters 71, 257-265.
- Marín
J. M., Rodríguez-Bernal M. T. and Wiper M. P. (2005). Using Weibull
mixture distributions to model heterogeneous survival data. Communication in Statistics: Simulation and Computation 34, 673-684.
- De la Horra J. and Rodríguez-Bernal M. T. (2006). Prior density selection as a particular case of Bayesian model selection.. Communication in Statistics: Theory and Methods 35, 1387-1396.
- De
la Horra J. and Rodríguez-Bernal M. T. (2007). Computing probabilities
of Type I error and Type II error of sequential Bayesian procedures of
testing one-sided hypotheses. Communication in Statistics: Theory and Methods 36, 731-740.
- De
la Horra J. and Rodríguez-Bernal M. T. (2009). Reconciling frequentist
an Bayesian methods: the role of positive false discovery and non
discovery rates. Far East Journal of Theoretical Statistics 28, 223-239.
- Ausín
C., Gómez M. A., González B, Rodríguez-Bernal M. T., Salazar I. and
Sanz L. (2011). Bayesian analysis of multiple hyphotesis testing with
applications to microarray experiments. Communication in Statistics: Theory and Methods 40, 2276-2291.
- Marín
J. M. and Rodríguez-Bernal M. T. (2012). Multiple hyphotesis testing
and clustering with mixtures of non-central t-distributions applied in
microarray data analysis. Computational Statistics and Data Analysis 56, 1898-1907.
- De la Horra J. and Rodríguez-Bernal M. T. (2012). Comparing and calibrating discrepancy measures for Bayesian model selection. Sort 36, 69-80.
- Marín
J. M., Rodríguez-Bernal M. T. and Romero E. (2015). Data cloning estimation of Garch and Cogarch models. Journal of Statistical Computation and Simulation 85, 1818-1831.
Forthcoming
Papers
- De la Horra J. and Rodríguez-Bernal M. T. (2014). An optimal procedure for multiple hypotheses testing. Revista de la Real academia de ciencias exactas, físicas y naturales. DOI 10.1007/s13398-014-0184-4.
- De
la Horra J., Marín
J. M. and Rodríguez-Bernal M. T. (2015). Bayesian inference and data cloning in the calibration of population projection matrices. Communication in Statistics: Simulation and Computation.
Other
Publications
- Wiper M. P. and Rodríguez-Bernal M. T.
(2001). Bayesian inference for a software reliability model using
software metrics information. Safety
and Reliability: Towards a Safer World. Proceedings of the European
Conference on Safety and Reliability, ESREL 2001, Torino, Italy, 16-20
September, pp 1999-2006.
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