Results for Bayesian

Publications & Outputs

1. Modelling and mapping how common guillemots balance their energy budgets over a full annual cycle

   Dunn, R. E., Green, J. A., Wanless, S., Harris, M. P., Newell, MA., Bogdanova, M. I., Horswill, C., Daunt, F. & Matthiopoulos, J., 31/07/2022, In: Functional Ecology. 36, 7, p. 1612-1626 15 p.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

2. Understanding behavioural responses to human-induced rapid environmental change: a meta-analysis

   Gunn, R. L., Hartley, I. R., Algar, A. C., Niemelä, P. T. & Keith, S. A., 30/04/2022, In: Oikos. 2022, 4, e08366.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

3. Practical recommendations for implementing a Bayesian adaptive phase I design during a pandemic

   Ewings, S., Saunders, G., Jaki, T. & Mozgunov, P., 20/01/2022, In: BMC Medical Research Methodology. 22, 1, 15 p., 25.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

4. Bayesian non-parametric models for zoonotic disease applications

   Miller, P., 12/2020, Lancaster University. 201 p.

   Research output: Thesis › Doctoral Thesis

5. AGILE-ACCORD: A Randomized, Multicentre, Seamless, Adaptive Phase I/II Platform Study to Determine the Optimal Dose, Safety and Efficacy of Multiple Candidate Agents for the Treatment of COVID-19: A structured summary of a study protocol for a randomised platform trial

   UK NIHR Community, 19/06/2020, In: Trials. 21, 1, 3 p., 544.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

6. The effects of individual differences and linguistic features on reading comprehension of health-related texts

   Ratajczak, M., 27/04/2020, Lancaster University. 389 p.

   Research output: Thesis › Doctoral Thesis

7. Quantifying Uncertainty for Estimates Derived from Error Matrices in Land Cover Mapping Applications: The Case for a Bayesian Approach

   Phillipson, J., Blair, G. & Henrys, P., 5/02/2020, Environmental Software Systems. Data Science in Action: 13th IFIP WG 5.11 International Symposium, ISESS 2020, Wageningen, The Netherlands, February 5–7, 2020, Proceedings. Athanasiadis, I. N., Frysinger, S. P., Schimak, G. & Knibbe, W. J. (eds.). Cham: Springer, p. 151-164 14 p. (IFIP Advances in Information and Communication Technology; vol. 554).

   Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

8. Directional–seasonal extreme value analysis of North Sea storm conditions

   Hansen, H. F., Randell, D., Zeeberg, A. R. & Jonathan, P., 1/01/2020, In: Ocean Engineering. 195, 17 p., 106665.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

9. Equity Premium Forecasts with an Unknown Number of Structural Breaks

   Smith, S. C., Bulkley, G. & Leslie, D. S., 1/01/2020, In: Journal of Financial Econometrics. 18, 1, p. 59-94 36 p.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

10. Uncertainty quantification in classification problems: A Bayesian approach for predicting the effects of further test sampling

    Phillipson, J., Blair, G. & Henrys, P., 6/12/2019, Proceedings of MODSIM2019, 23rd International Congress on Modelling and Simulation. Elsawah, S. (ed.). Canberra: Modelling and Simulation Society of Australia and New Zealand (MSSANZ), p. 193-199 7 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

11. Uncertainty quantification in classification problems: A Bayesian approach for predicating the effects of further test sampling. 23rd International Congress on Modelling and Simulation - Supporting Evidence-Based Decision Making: The Role of Modelling and Simulation, MODSIM 2019

    Phillipson, J., Blair, G. S., Henrys, P., S., E. (ed.) & Office, CSIRO. CUBIC. EW. NSW. G., 6/12/2019, p. 193-199. 7 p.

    Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

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