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Results for Bayesian inference

Publications & Outputs

  1. Inferring transmission trees to guide targeting of interventions against visceral leishmaniasis and post-kala-azar dermal leishmaniasis

    Chapman, L. A. C., Spencer, S. E. F., Pollington, T. M., Jewell, C. P., Mondal, D., Alvar, J., Hollingsworth, T. D., Cameron, M. M., Bern, C. & Medley, G. F., 13/10/2020, In: Proceedings of the National Academy of Sciences of the United States of America. 117, 41, p. 25742-25750 9 p.

    Research output: Contribution to journalJournal articlepeer-review

  2. Cardiorespiratory interactions during three different temperatures - a case report

    Lin, A., Zilakos, I., Ugland, N., Andersen, M. B., Bergersen, T. K., Stankovski, T., Stefanovska, A. & Elstad, M., 4/08/2020, 11th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2020. IEEE

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  3. Bayesian input–output table update using a benchmark LASSO prior

    Tsionas, M. G., 2/07/2020, In: Economic Systems Research. 32, 3, p. 413-427 15 p.

    Research output: Contribution to journalJournal articlepeer-review

  4. 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 articlepeer-review

  5. 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 articlepeer-review

  6. 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 articlepeer-review

  7. 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 articlepeer-review

  8. 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 articlepeer-review

  9. 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 articlepeer-review

  10. 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 articlepeer-review

  11. 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 articlepeer-review

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