Results for Composite likelihood

Publications & Outputs

1. Bayesian spatial clustering of extremal behaviour for hydrological variables

   Rohrbeck, C. & Tawn, J., 31/03/2021, In: Journal of Computational and Graphical Statistics. 30, 1, p. 91-105 15 p.

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

2. Bayesian Spatial Clustering of Extremal Behavior for Hydrological Variables

   Rohrbeck, C. & Tawn, J. A., 9/07/2020, (E-pub ahead of print) In: Journal of Computational and Graphical Statistics.

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

3. Geostatistical inference in the presence of geomasking: A composite-likelihood approach

   Fronterre, C., Giorgi, E. & Diggle, P. J., 12/2018, In: Spatial Statistics. 28, p. 319-330 12 p.

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

4. On the spatial dependence of extreme ocean storm seas

   Ross, E., Kereszturi, M., van Nee, M., Randell, D. & Jonathan, P., 15/11/2017, In: Ocean Engineering. 145, Supplement C, p. 359-372 14 p.

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

5. Consistency of estimators of the population-scaled recombination rate.

   Fearnhead, P., 08/2003, In: Theoretical Population Biology. 64, 1, p. 67-79 13 p.

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

6. A serially correlated gamma frailty model for longitudinal count data.

   Henderson, R. & Shimakura, S., 2003, In: Biometrika. 90, 2, p. 355-366 12 p.

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