Results for Poisson process

Publications & Outputs

1. Recruitment prediction for multicenter clinical trials based on a hierarchical Poisson–gamma model: Asymptotic analysis and improved intervals

   Mountain, R. & Sherlock, C., 30/06/2022, In: Biometrics. 78, 2, p. 636-648 13 p.

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

2. Bayesian inference and prediction for the inhomogeneous Poisson process, and a robust competitor to Hamiltonian Monte Carlo

   Urbas, S., 2022, Lancaster University. 263 p.

   Research output: Thesis › Doctoral Thesis

3. Long cycle of random permutations with polynomially growing cycle weights

   Zeindler, D., 30/07/2021, In: Random Structures and Algorithms . 58, 4, p. 726-739 14 p.

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

4. Bayesian inference for nonstationary marginal extremes

   Randell, D., Turnbull, K., Ewans, K. & Jonathan, P., 11/2016, In: Environmetrics. 27, 7, p. 439-450 12 p.

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

5. Modelling record times in sport with extreme value methods

   Adam, M. B. & Tawn, J. A., 01/2016, In: Malaysian Journal of Mathematical Sciences . 10, 1, p. 1-21 21 p.

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

6. Distributions of return values for ocean wave characteristics in the South China Sea using directional-seasonal extreme value analysis

   Randell, D., Feld, G., Ewans, K. & Jonathan, P., 2015, In: Environmetrics. 26, 6, p. 442-450 9 p.

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

7. Efficient inference for spatial extreme value processes associated to log-Gaussian random functions

   Wadsworth, J. & Tawn, J., 03/2014, In: Biometrika. 101, 1, p. 1-15 15 p.

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

8. Nonparametric estimation of the spectral measure, and associated dependence measures, for multivariate extreme values using a limiting conditional representation.

   Eastoe, E. F., Heffernan, J. E. & Tawn, J. A., 03/2014, In: Extremes. 17, 1, p. 25-43 19 p.

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

9. Estimating incidence rates using exact or interval-censored data with an application to hospital-acquired infections

   Deng, L., Diggle, P. J. & Cheesbrough, J., 10/05/2012, In: Statistics in Medicine. 31, 10, p. 963-977 15 p.

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

10. A spatiodirectional model for extreme waves in the Gulf of Mexico

    Jonathan, P. & Ewans, K., 2010, In: Journal of Offshore Mechanics and Arctic Engineering. 133, 1, 9 p., 011601.

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

11. Specification and synthesis of sensory datasets in pervasive spaces

    Helal, S., Andres, M-V. & Hossain, S., 2009, IEEE Symposium on Computers and Communications 2009, ISCC 2009. IEEE, p. 920-925 6 p.

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

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