Search Results - "Hoeltgebaum, Henrique"

Streaming changepoint detection for transition matrices by Plasse, Joshua, Hoeltgebaum, Henrique, Adams, Niall M.

“…Sequentially detecting multiple changepoints in a data stream is a challenging task. Difficulties relate to both computational and statistical aspects, and in…”
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Correction to: Streaming changepoint detection for transition matrices by Plasse, Joshua, Hoeltgebaum, Henrique, Adams, Niall M.

“…A correction to this paper has been published: https://doi.org/10.1007/s10618-021-00756-6…”
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Estimating the COVID-19 infection fatality ratio accounting for seroreversion using statistical modelling by Brazeau, Nicholas F., Verity, Robert, Jenks, Sara, Fu, Han, Whittaker, Charles, Winskill, Peter, Dorigatti, Ilaria, Walker, Patrick G. T., Riley, Steven, Schnekenberg, Ricardo P., Hoeltgebaum, Henrique, Mellan, Thomas A., Mishra, Swapnil, Unwin, H. Juliette T., Watson, Oliver J., Cucunubá, Zulma M., Baguelin, Marc, Whittles, Lilith, Bhatt, Samir, Ghani, Azra C., Ferguson, Neil M., Okell, Lucy C.

“…Background The infection fatality ratio (IFR) is a key statistic for estimating the burden of coronavirus disease 2019 (COVID-19) and has been continuously…”
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A Quantile Dependency Model for Predicting Optimal Centrifugal Pump Operating Strategies by Stephen, Bruce, Brown, Blair, Young, Andrew, Duncan, Andrew, Helfer-Hoeltgebaum, Henrique, West, Graeme, Michie, Craig, McArthur, Stephen D. J.

“…Used in many industrial applications, centrifugal pumps have optimal operating criteria specified at design. These criteria may not be precisely adhered to…”
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Generating Joint Scenarios for Renewable Generation: The Case for Non-Gaussian Models With Time-Varying Parameters by Hoeltgebaum, Henrique, Fernandes, Cristiano, Street, Alexandre

“…The development of medium-/long-term studies for power-system operation and planning under the uncertainty of renewable generation is a key challenge faced by…”
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Estimation, Forecasting, and Anomaly Detection for Nonstationary Streams Using Adaptive Estimation by Hoeltgebaum, Henrique, Adams, Niall, Fernandes, Cristiano

“…Streaming data provides substantial challenges for data analysis. From a computational standpoint, these challenges arise from constraints related to computer…”
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A score-driven model of short-term demand forecasting for retail distribution centers by Hoeltgebaum, Henrique, Borenstein, Denis, Fernandes, Cristiano, Veiga, Álvaro

“…•GAS models are competitive to forecast daily retail demand.•GAS models are suitable to calculate daily retail demand predictive density.•Time varying variance…”
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Evolution and epidemic spread of SARS-CoV-2 in Brazil by Candido, Darlan S, Claro, Ingra M, de Jesus, Jaqueline G, Souza, William M, Moreira, Filipe R R, Dellicour, Simon, Mellan, Thomas A, du Plessis, Louis, Pereira, Rafael H M, Sales, Flavia C S, Manuli, Erika R, Thézé, Julien, Almeida, Luiz, Menezes, Mariane T, Voloch, Carolina M, Fumagalli, Marcilio J, Coletti, Thaís M, da Silva, Camila A M, Ramundo, Mariana S, Amorim, Mariene R, Hoeltgebaum, Henrique H, Mishra, Swapnil, Gill, Mandev S, Carvalho, Luiz M, Buss, Lewis F, Prete, Jr, Carlos A, Ashworth, Jordan, Nakaya, Helder I, Peixoto, Pedro S, Brady, Oliver J, Nicholls, Samuel M, Tanuri, Amilcar, Rossi, Átila D, Braga, Carlos K V, Gerber, Alexandra L, de C Guimarães, Ana Paula, Gaburo, Jr, Nelson, Alencar, Cecila Salete, Ferreira, Alessandro C S, Lima, Cristiano X, Levi, José Eduardo, Granato, Celso, Ferreira, Giulia M, Francisco, Jr, Ronaldo S, Granja, Fabiana, Garcia, Marcia T, Moretti, Maria Luiza, Perroud, Jr, Mauricio W, Castiñeiras, Terezinha M P P, Lazari, Carolina S, Hill, Sarah C, de Souza Santos, Andreza Aruska, Simeoni, Camila L, Forato, Julia, Sposito, Andrei C, Schreiber, Angelica Z, Santos, Magnun N N, de Sá, Camila Zolini, Souza, Renan P, Resende-Moreira, Luciana C, Teixeira, Mauro M, Hubner, Josy, Leme, Patricia A F, Moreira, Rennan G, Nogueira, Maurício L, Ferguson, Neil M, Costa, Silvia F, Proenca-Modena, José Luiz, Vasconcelos, Ana Tereza R, Bhatt, Samir, Lemey, Philippe, Wu, Chieh-Hsi, Rambaut, Andrew, Loman, Nick J, Aguiar, Renato S, Pybus, Oliver G, Sabino, Ester C, Faria, Nuno Rodrigues

“…Brazil currently has one of the fastest-growing severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemics in the world. Because of limited…”
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Inference of COVID-19 epidemiological distributions from Brazilian hospital data by Hawryluk, Iwona, Mellan, Thomas A, Hoeltgebaum, Henrique, Mishra, Swapnil, Schnekenberg, Ricardo P, Whittaker, Charles, Zhu, Harrison, Gandy, Axel, Donnelly, Christl A, Flaxman, Seth, Bhatt, Samir

“…Knowing COVID-19 epidemiological distributions, such as the time from patient admission to death, is directly relevant to effective primary and secondary care…”
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Five different distributions for the Lee–Carter model of mortality forecasting: A comparison using GAS models by Neves, César, Fernandes, Cristiano, Hoeltgebaum, Henrique

“…This paper extends the well-known Lee–Carter model used for forecasting mortality rates by utilizing a new class of time series models, known as Generalized…”
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Peer-group Behaviour Analytics of Windows Authentications Events Using Hierarchical Bayesian Modelling by Hawryluk, Iwona, Hoeltgebaum, Henrique, Sodja, Cole, Lalicker, Tyler, Neil, Joshua

“…Cyber-security analysts face an increasingly large number of alerts received on any given day. This is mainly due to the low precision of many existing methods…”
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HCmodelSets: An R package for specifying sets of well-fitting models in regression with a large number of potential explanatory variables by Hoeltgebaum, Henrique Helfer, Battey, Heather

“…In the context of regression with a large number of explanatory variables, Cox and Battey (2017) emphasize that if there are alternative reasonable…”
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Prospective Artificial Intelligence Approaches for Active Cyber Defence by Dhir, Neil, Hoeltgebaum, Henrique, Adams, Niall, Briers, Mark, Burke, Anthony, Jones, Paul

“…Cybercriminals are rapidly developing new malicious tools that leverage artificial intelligence (AI) to enable new classes of adaptive and stealthy attacks…”
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Gaussian Process Nowcasting: Application to COVID-19 Mortality Reporting by Hawryluk, Iwona, Hoeltgebaum, Henrique, Mishra, Swapnil, Miscouridou, Xenia, Schnekenberg, Ricardo P, Whittaker, Charles, Vollmer, Michaela, Flaxman, Seth, Bhatt, Samir, Mellan, Thomas A

“…Updating observations of a signal due to the delays in the measurement process is a common problem in signal processing, with prominent examples in a wide…”
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Inference of COVID-19 epidemiological distributions from Brazilian hospital data by Hawryluk, Iwona, Mellan, Thomas A, Hoeltgebaum, Henrique H, Mishra, Swapnil, Schnekenberg, Ricardo P, Whittaker, Charles, Zhu, Harrison, Gandy, Axel, Donnelly, Christl A, Flaxman, Seth, Bhatt, Samir

“…Knowing COVID-19 epidemiological distributions, such as the time from patient admission to death, is directly relevant to effective primary and secondary care…”
Get full text