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Henrique Helfer Hoeltgebaum
Henrique Helfer Hoeltgebaum
Research associate
Verified email at ic.ac.uk
Title
Cited by
Cited by
Year
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
947*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
460*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
113*2020
Supplementary data–report 34: COVID-19 infection fatality ratio: estimates from seroprevalence
N Brazeau, R Verity, S Jenks, H Fu, C Whittaker, P Winskill, I Dorigatti, ...
London: Imperial College, 2020
852020
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
202020
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
182017
Subnational analysis of the COVID-19 epidemic in Brazil
TA Mellan, HH Hoeltgebaum, S Mishra, C Whittaker, RP Schnekenberg, ...
MedRxiv, 2020
172020
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
172018
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
92021
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
62021
Estimation, Forecasting, and Anomaly Detection for Nonstationary Streams Using Adaptive Estimation
H Hoeltgebaum, N Adams, C Fernandes
IEEE Transactions on Cybernetics, 2021
32021
Streaming changepoint detection for transition matrices
J Plasse, H Hoeltgebaum, NM Adams
Data Mining and Knowledge Discovery 35 (4), 1287-1316, 2021
22021
HCmodelSets: An R package for specifying sets of well-fitting models in high dimensions
H Hoeltgebaum, H Battey
The R Foundation for Statistical Computing, 2019
2*2019
Desempenho do modelo estocástico de média-varância para o mercado brasileiro de ações
HH Hoeltgebaum
12011
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), 1-13, 2022
2022
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
2021
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
Estimating the COVID-19 infection fatality ratio accounting for seroreversion using statistical modelling
L Okell, NF Brazeau, R Verity, S Jenks, H Fu, C Whittaker, P Winskill, ...
Nature, 0
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Articles 1–20