Viceconti et al (2024) Theoretical foundations of good simulation practice. Toward good simulation practice (Viceconti, M.  and Emili, L. eds), Chapter 2, 9--23, Springer: Cham, Switzerland.

Kiagias, D. et al. (2021) 'Bayesian augmented clinical trials in TB therapeutic vaccination', Frontiers in Medical Technology, 3. doi:

Curreli, C. et al. (2021) 'Verification of an agent-based disease model of human mycobacterium tuberculosis infection', International Journal for Numerical Methods in Biomedical Engineering, e3470. doi:

Sharpe, J. A. and Juárez, M. A. (2021) 'Estimation of the Pareto and related distributions—a reference—intrinsic approach', Communications in Statistics–Theory and Methods, doi:

Juárez, M. A. et al. (2020) 'Generation of digital patients for the simulation of tuberculosis with UISS–TB', BMC Bioinformatics, 21 449.

Russo, G. et al. (2020) 'Moving forward through the in silico modeling of tuberculosis: a further step with UISS-TB', BMC Bioinformatics, 21 458. doi:

Buck, C. E. and Juárez, M. A. (2020) Modelización bayesiana de radiocarbono para principiatnes, 'Métodos cronométricos en arqueología, historia y paleontología' (Barceló, JA and Morell, B eds), Chapter 13, 293–310.

Viceconti, M. et al. (2020) 'Credibility of In Silico Trial Technologies–A Theoretical Framing', IEEE Journal of Biomedical and Health Informatics, 24, 4–13. doi:

Alenazi, A. A., Cox, A., Juárez, M., Lin, W-Y., Walters, K. (2019) 'Bayesian variable selection using partially observed categorical prior information in fine-mapping association studies', Genet. Epidemiol. 43: 690– 703. doi:

Russo, G. et al. (2019) 'Evaluation of the efficacy of RUTI and ID93/GLA-SE vaccines in tuberculosis treatment: in silico trial through UISS-TB simulator', IEEE International Conference on Bioinformatics and Biomedicine (BIBM), San Diego, USA, pp. 2197–2201. doi:

Barnett, S. F. H. et al (2017). 'A Novel Application of Non-Destructive Readout Technology to Localisation Microscopy', Nature Scientific Reports 7. doi:

Baker, D. et al (2016). 'Detecting genetic mosaicism in cultures of human pluripotent stem cells', Stem Cell Reports 5, 998—1012. doi:

Morrissey, E. R., Juárez, M. A., Denby, K. J. and Burroughs, N. J. (2011). 'Inferring the time-invariant topology of a non-linear sparse gene regulatory network using fully Bayesian spline autoregression', (PDF, 372KB). Biostatistics 12, 682—694. doi:

Morrissey, E. R., Juárez, M. A., Denby, K. J. and Burroughs, N. J. (2010). 'On reverse engineering of gene interaction networks using time course data with repeated measurements', Bioinformatics, 26, 2305—2312. doi:

STREAM Consortium (2010). 'The dynamic architecture of the metabolic switch in Streptomyces coelicolor', BMC Genomics 2010, 11:10. doi:

Juárez, M. A. and Steel, M. F. J. (2010). 'Model-Based Clustering of Non-Gaussian Panel Data Based on Skew-t Distributions', Journal of Business and Economic Statistics, 28, 52—66. doi:

Juárez, M. A. and Steel, M. F. J. (2010). 'Non-Gaussian Dynamic Bayesian Modelling for Panel Data', Journal of Applied Econometrics, 25, 1128—1154. doi:

Ferreira, J. T. A. S., Juárez, M. A. and Steel, M. F. J. (2008) 'Directional log-spline distributions', Bayesian Analysis, 3, 267—315. doi:

Bernardo, J. M. and Juárez, M. A. (2003) 'Intrinsic estimation' (PDF, 219KB), Bayesian Statistics 7, Oxford: University Press, 465—476.

de Alba, E., Juárez, M. A. and Moreno, M. T. (1998). 'Bayesian Estimation of IBNR Reserves', Transactions of the International Congress of Actuaries, Vol. 4, 255—273, Birmingham, England.

de Alba, E. and Juárez, M. A. (1995) 'Bayesian Forecasting: An Application to IBNR Claims Reserves', ASA Proceedings of the Section on Bayesian Statistical Science, 189—194.


Juárez, M. A. (2005a). 'Objective Bayes estimation and hypothesis testing: the reference-intrinsic approach on non-regular models' (PDF). CRiSM working paper 05-14.

Juárez, M. A. (2005b). 'Objective Bayes inference on the normal correlation coefficient' (PDF). CRiSM working paper 05-15.