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Results for Bayesian inference

Publications & Outputs

  1. Bayesian sequential integration within a preclinical pharmacokinetic and pharmacodynamic modeling framework: Lessons learned

    La Gamba, F., Jacobs, T., Geys, H., Jaki, T., Serroyen, J., Ursino, M., Russu, A. & Faes, C., 1/07/2019, In : Pharmaceutical Statistics. 18, 4, p. 486-506 21 p.

    Research output: Contribution to journalJournal article

  2. Experimental Realization of the Coupling Function Secure Communications Protocol and Analysis of its Noise Robustness

    Nadzinski, G., Dobrevski, M., Anderson, C., McClintock, P. V. E., Stefanovska, A., Stankovski, M. & Stankovski, T., 10/2018, In : IEEE Transactions on Information Forensics and Security. 13, 10, p. 2591-2601 11 p.

    Research output: Contribution to journalJournal article

  3. A Bayesian latent process spatiotemporal regression model for areal count data

    Utazi, C. E., Afuecheta, E. O. & Nnanatu, C., 06/2018, In : Spatial and Spatio-temporal Epidemiology. 25, p. 25-37 13 p.

    Research output: Contribution to journalJournal article

  4. Assessing the strategic fit of potential M&As in Chinese banking: A novel Bayesian stochastic frontier approach

    Chen, Z., Wanke, P. & Tsionas, M. G., 06/2018, In : Economic Modelling. 73, p. 254-263 10 p.

    Research output: Contribution to journalJournal article

  5. Coherence and coupling functions reveal microvascular impairment in treated hypertension

    Ticcinelli, V., Stankovski, T., Iatsenko, D., Bernjak, A., Bradbury, A., Gallagher, A., Clarkson, P. B. M., McClintock, P. V. E. & Stefanovska, A., 13/10/2017, In : Frontiers in Physiology. 8, 20 p., 749.

    Research output: Contribution to journalJournal article

  6. Efficient estimation of return value distributions from non-stationary marginal extreme value models using Bayesian inference

    Ross, E., Randell, D., Ewans, K., Feld, G. & Jonathan, P., 15/09/2017, In : Ocean Engineering. 142, p. 315-328 14 p.

    Research output: Contribution to journalJournal article

  7. A Poisson process reparameterisation for Bayesian inference for extremes

    Sharkey, P. & Tawn, J. A., 06/2017, In : Extremes. 20, 2, p. 239-263 25 p.

    Research output: Contribution to journalJournal article

  8. A tutorial introduction to Bayesian inference for stochastic epidemic models using Approximate Bayesian Computation

    Kypraios, T., Neal, P. J. & Prangle, D., 05/2017, In : Mathematical Biosciences. 287, p. 42-53 12 p.

    Research output: Contribution to journalJournal article

  9. “When, Where, and How” of Efficiency Estimation: Improved Procedures for Stochastic Frontier Modeling

    Tsionas, E., 2017, In : Journal of the American Statistical Association. 112, 519, p. 948-965 17 p.

    Research output: Contribution to journalJournal article

  10. Geometric Representations of Random Hypergraphs

    Lunagomez Coria, S., Mukherjee, S., Wolpert, R. & Airoldi, E., 2017, In : Journal of the American Statistical Association. 112, 517, p. 363-383 20 p.

    Research output: Contribution to journalJournal article

  11. A probabilistic predictive Bayesian approach for determining the representativeness of health and demographic surveillance networks

    Utazi, C. E., Sahu, S. K., Atkinson, P. M., Tejedor, N. & Tatem, A. J., 08/2016, In : Spatial Statistics. 17, p. 161-178 18 p.

    Research output: Contribution to journalJournal article

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