| Genomics and epidemiology of the P. 1 SARS-CoV-2 lineage in Manaus, Brazil NR Faria, TA Mellan, C Whittaker, IM Claro, DS Candido, S Mishra, ... Science 372 (6544), 815-821, 2021 | 1741* | 2021 |
| Evolution and epidemic spread of SARS-CoV-2 in Brazil DS Candido, IM Claro, JG De Jesus, WM Souza, FRR Moreira, ... Science 369 (6508), 1255-1260, 2020 | 724 | 2020 |
| Estimating COVID-19 cases and reproduction number in Brazil TA Mellan, HH Hoeltgebaum, S Mishra, C Whittaker Imperial College London (08-05-2020), doi: https://doi. org/10.25561/78872, 2020 | 162* | 2020 |
| Estimating the COVID-19 infection fatality ratio accounting for seroreversion using statistical modelling NF Brazeau, R Verity, S Jenks, H Fu, C Whittaker, P Winskill, I Dorigatti, ... Communications medicine 2 (1), 54, 2022 | 159* | 2022 |
| Prospective artificial intelligence approaches for active cyber defence N Dhir, H Hoeltgebaum, N Adams, M Briers, A Burke, P Jones arXiv preprint arXiv:2104.09981, 2021 | 40 | 2021 |
| Inference of COVID-19 epidemiological distributions from Brazilian hospital data I Hawryluk, TA Mellan, H Hoeltgebaum, S Mishra, RP Schnekenberg, ... Journal of the Royal Society Interface 17 (172), 20200596, 2020 | 39 | 2020 |
| Generating joint scenarios for renewable generation: The case for non-Gaussian models with time-varying parameters H Hoeltgebaum, C Fernandes, A Street IEEE Transactions on power systems 33 (6), 7011-7019, 2018 | 35 | 2018 |
| Five different distributions for the Lee–Carter model of mortality forecasting: A comparison using GAS models C Neves, C Fernandes, H Hoeltgebaum Insurance: Mathematics and Economics 75, 48-57, 2017 | 26 | 2017 |
| Gaussian process nowcasting: application to COVID-19 mortality reporting I Hawryluk, H Hoeltgebaum, S Mishra, X Miscouridou, RP Schnekenberg, ... Uncertainty in Artificial Intelligence, 1258-1268, 2021 | 15 | 2021 |
| Estimation, forecasting, and anomaly detection for nonstationary streams using adaptive estimation H Hoeltgebaum, N Adams, C Fernandes IEEE Transactions on Cybernetics 52 (8), 7956-7967, 2021 | 15 | 2021 |
| A score-driven model of short-term demand forecasting for retail distribution centers H Hoeltgebaum, D Borenstein, C Fernandes, Á Veiga Journal of Retailing 97 (4), 715-725, 2021 | 12 | 2021 |
| Streaming changepoint detection for transition matrices J Plasse, H Hoeltgebaum, NM Adams Data Mining and Knowledge Discovery 35 (4), 1287-1316, 2021 | 5 | 2021 |
| HCmodelSets: An R Package for Specifying Sets of Well-fitting Models in High Dimensions H Hoeltgebaum, H Battey | 2* | 2019 |
| Peer-group Behaviour Analytics of Windows Authentications Events Using Hierarchical Bayesian Modelling I Hawryluk, H Hoeltgebaum, C Sodja, T Lalicker, J Neil arXiv preprint arXiv:2209.09769, 2022 | 1 | 2022 |
| A quantile dependency model for predicting optimal centrifugal pump operating strategies B Stephen, B Brown, A Young, A Duncan, H Helfer-Hoeltgebaum, G West, ... Machines 10 (7), 557, 2022 | 1 | 2022 |
| Desempenho do modelo estocástico de média-varância para o mercado brasileiro de ações HH Hoeltgebaum | 1 | 2011 |
| Subnational analysis of the initial phase of the COVID-19 epidemic in Brazil TA Mellan, H Hoeltgebaum, S Mishra, C Whittaker, I Hawryluk, A Gandy, ... 2023 ICLR First Workshop on {\textquotedblleft} Machine Learning {\&} Global …, 2023 | | 2023 |
| Unsupervised streaming anomaly detection for instrumented infrastructure H Hoeltgebaum, N Adams, FDH Lau The Annals of Applied Statistics 15 (3), 1101-1125, 2021 | | 2021 |
| Improved feed pump performance through predictive analytics B Stephen, B Brown, A Young, S McArthur, G West, C Michie, A Duncan, ... 2019 Innovation Showcase: Nuclear Asset Management and Industrial Informatics, 2019 | | 2019 |
| Previsão da Densidade Conjunta de Fator de Capacidade Eólico via Modelo GAS Multivariado HH Hoeltgebaum PUC Rio, 2015 | | 2015 |
