Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Anthony Ebert"'
Publikováno v:
Stats, Vol 4, Iss 3, Pp 762-775 (2021)
Approximate Bayesian computation is a likelihood-free inference method which relies on comparing model realisations to observed data with informative distance measures. We obtain functional data that are not only subject to noise along their y axis b
Externí odkaz:
https://doaj.org/article/e3a88b10122c422084fa5f99c3c651af
Autor:
David J. Warne, Anthony Ebert, Christopher Drovandi, Wenbiao Hu, Antonietta Mira, Kerrie Mengersen
Publikováno v:
BMC Public Health, Vol 20, Iss 1, Pp 1-14 (2020)
Abstract Background The global impact of COVID-19 and the country-specific responses to the pandemic provide an unparalleled opportunity to learn about different patterns of the outbreak and interventions. We model the global pattern of reported COVI
Externí odkaz:
https://doaj.org/article/30d7ed67ca23455c8b10c3f2a31ddb45
Publikováno v:
Journal of Statistical Software, Vol 95, Iss 1, Pp 1-29 (2020)
Large networks of queueing systems model important real-world systems such as MapReduce clusters, web-servers, hospitals, call centers and airport passenger terminals. To model such systems accurately, we must infer queueing parameters from data. Unf
Externí odkaz:
https://doaj.org/article/f2296f2c65fe45698e8418a870df69b5
Publikováno v:
Journal of the Royal Statistical Society Series C: Applied Statistics. 70:770-792
Dynamic queueing networks (DQN) model queueing systems where demand varies strongly with time, such as airport terminals. With rapidly rising global air passenger traffic placing increasing pressure on airport terminals, efficient allocation of resou
Publikováno v:
Journal of Statistical Software, Vol 95, Iss 1, Pp 1-29 (2020)
Journal of Statistical Software; Vol 95 (2020); 1-29
Journal of Statistical Software; Vol 95 (2020); 1-29
Large networks of queueing systems model important real-world systems such as MapReduce clusters, web-servers, hospitals, call centers and airport passenger terminals. To model such systems accurately, we must infer queueing parameters from data. Unf
Publikováno v:
Stats
Volume 4
Issue 3
Pages 45-775
Stats, Vol 4, Iss 45, Pp 762-775 (2021)
Volume 4
Issue 3
Pages 45-775
Stats, Vol 4, Iss 45, Pp 762-775 (2021)
Approximate Bayesian computation is a likelihood-free inference method which relies on comparing model realisations to observed data with informative distance measures. We obtain functional data that are not only subject to noise along their y axis b
Publikováno v:
Wiley StatsRef: Statistics Reference Online. :1-8
Autor:
Christopher C. Drovandi, Antonietta Mira, Kerrie Mengersen, Wenbiao Hu, Anthony Ebert, David J. Warne
Publikováno v:
BMC Public Health
BMC Public Health, Vol 20, Iss 1, Pp 1-14 (2020)
BMC Public Health, Vol 20, Iss 1, Pp 1-14 (2020)
BackgroundThe global impact of COVID-19 and the country-specific responses to the pandemic provide an unparalleled opportunity to learn about different patterns of the outbreak and interventions. We model the global pattern of trajectories of reporte
Publikováno v:
Chemical Engineering Journal. 165:974-979
Microwave acid purification with H 2 SO 4 was performed on multi-walled carbon nanotubes (MWNTs) synthesised by fluidised-bed chemical vapour deposition (CVD) to remove Fe catalysts and Al 2 O 3 substrates. The surface of these purified MWNTs was the