| Improved bridge constructs for stochastic differential equations GA Whitaker, A Golightly, RJ Boys, C Sherlock Statistics and Computing 27, 885-900, 2017 | 42 | 2017 |
| Modeling outcomes of soccer matches A Tsokos, S Narayanan, I Kosmidis, G Baio, M Cucuringu, G Whitaker, ... Machine Learning 108, 77-95, 2019 | 33 | 2019 |
| Bayesian inference for diffusion-driven mixed-effects models GA Whitaker, A Golightly, RJ Boys, C Sherlock | 31 | 2017 |
| High level summary of learning: domestic smart meter customers on time of use tariffs HA Bulkeley, PC Matthews, G Whitaker, S Bell, R Wardle, S Lyon, ... | 11 | 2015 |
| Visualizing a team's goal chances in soccer from attacking events: A Bayesian inference approach GA Whitaker, R Silva, D Edwards Big data 6 (4), 271-290, 2018 | 9 | 2018 |
| A Bayesian inference approach for determining player abilities in football GA Whitaker, R Silva, D Edwards, I Kosmidis arXiv preprint arXiv:1710.00001, 2017 | 7 | 2017 |
| A Bayesian approach for determining player abilities in football GA Whitaker, R Silva, D Edwards, I Kosmidis Journal of the Royal Statistical Society Series C: Applied Statistics 70 (1 …, 2021 | 6 | 2021 |
| Bayesian Inference for Stochastic Differential Mixed-effects Models GA Whitaker Newcastle University, 2016 | 4 | 2016 |
| Insight Report: Domestic Time of Use Tariff: A comparison of the time of use tariff trial to the baseline domestic profiles G Whitaker, R Wardle, C Barteczko-Hibbert, PC Matthews, HA Bulkeley, ... | 3 | 2013 |
| Modeling goal chances in soccer: a Bayesian inference approach GA Whitaker, R Silva, D Edwards arXiv preprint arXiv:1802.08664, 2018 | 2 | 2018 |
| High Level Summary of Learning: Domestic Solar PV Customers HA Bulkeley, G Whitaker, PC Matthews, S Bell, S Lyon, G Powells | 1 | 2015 |
| Insight Report: Baseline Domestic Profile: Test Cell 1a Customer Subgroup Analysis C Barteczko-Hibbert, G Whitaker, S Slater, J Groizard, E Energy Customer Lead Network Revolution project, Northern Power Grid, 2015 | 1 | 2015 |
| The bivariate poisson distribution and its applications to football G Whitaker, PS Ansell, D Walshaw | 1 | 2011 |
| High Level Summary of Learning: Domestic Smart Meter Customers HA Bulkeley, G Whitaker, PC Matthews, S Bell, S Lyon, G Powells | | 2015 |
| High Level Summary of Learning H Bulkeley, P Matthews, G Whitaker, S Bell, R Wardle, S Lyon, G Powells | | 2015 |
| Random effects dynamic panel models for unequally spaced multivariate categorical repeated mea-sures: an application to child–parent exchanges of support F. Steele and E … E Santos-Fernandez, EE Peterson, J Vercelloni, E Rushworth, ... | | |
| Using player abilities to predict football G Whitaker | | |
Chris SherlockLancaster UniversityVerifierad e-postadress på lancaster.ac.uk
