Results for Gaussian process

Publications & Outputs

1. Multivariate sensitivity analysis for a large-scale climate impact and adaptation model

   Oyebamiji, O., Nemeth, C. J., Harrison, P., Dunford, R. & Cojocaru, G., 13/06/2023, In: Journal of the Royal Statistical Society: Series C (Applied Statistics). 72, 3, p. 770-808 39 p.

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

2. Spatio-temporal modelling of extreme temperature events on the Greenland ice sheet

   Clarkson, D., 30/05/2023, Lancaster University. 157 p.

   Research output: Thesis › Doctoral Thesis

3. GaussianProcesses.jl: A Nonparametric Bayes package for the Julia Language

   Fairbrother, J., Nemeth, C., Pinder, T., Rischard, M. & Brea, J., 30/04/2022, In: Journal of Statistical Software. 102, 1, p. 1-36 36 p.

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

4. Geostatistical methods for modelling non-stationary patterns in disease risk

   Ejigu, B. A., Wencheko, E., Moraga-Serrano, P. & Giorgi, E., 9/12/2019, (E-pub ahead of print) In: Spatial Statistics. 35, 15 p., 100397.

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

5. Evolutionary design of strong and stable high entropy alloys using multi-objective optimisation based on physical models, statistics and thermodynamics

   Menou, E., Toda-Caraballo, I., Rivera-Díaz-del-Castillo, P. E. J., Pineau, C., Bertrand, E., Ramstein, G. & Tancret, F., 5/04/2018, In: Materials and Design. 143, p. 185-195 11 p.

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

6. Modeling of spatio-temporal variation in plague incidence in Madagascar from 1980 to 2007

   Giorgi, E., Kreppel, K., Diggle, P. J., Caminade, C., Ratsitorahina, M., Rajerison, M. & Baylis, M., 11/2016, In: Spatial and Spatio-temporal Epidemiology. 19, p. 125-135 11 p.

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

7. Statistics of extreme ocean environments: Non-stationary inference for directionality and other covariate effects

   Jones, M., Randell, D., Ewans, K. & Jonathan, P., 1/06/2016, In: Ocean Engineering. 119, p. 30-46 17 p.

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

8. Gaussian processes as an alternative to polynomial gaze estimation functions

   Sesma-Sanchez, L., Zhang, Y., Bulling, A. & Gellersen, H-W. G., 14/03/2016, ETRA '16 Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications. New York: ACM, p. 229-232 4 p.

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

9. Efficient learning of image super-resolution and compression artifact removal with semi-local Gaussian processes

   Kwon, Y., Kim, K. I., Tompkin, J., Kim, J. H. & Theobalt, C., 1/09/2015, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 37, 9, p. 1792-1805 14 p.

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

10. A Bayesian Framework for Quantifying Uncertainty in Stochastic Simulation

    Xie, W., Nelson, B. L. & Barton, R., 1/12/2014, In: Operations Research. 62, 6, p. 1439-1452 15 p.

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