Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Marchant, Roman"'
Autor:
Cripps, Sally, Lopatnikova, Anna, Afshar, Hadi Mohasel, Gales, Ben, Marchant, Roman, Francis, Gilad, Moreira, Catarina, Fischer, Alex
This paper proposes Bayesian Adaptive Trials (BAT) as both an efficient method to conduct trials and a unifying framework for evaluation social policy interventions, addressing limitations inherent in traditional methods such as Randomized Controlled
Externí odkaz:
http://arxiv.org/abs/2406.02868
Autor:
Chin, Vincent, Samia, Noelle I., Marchant, Roman, Rosen, Ori, Ioannidis, John P. A., Tanner, Martin A., Cripps, Sally
Forecasting models have been influential in shaping decision-making in the COVID-19 pandemic. However, there is concern that their predictions may have been misleading. Here, we dissect the predictions made by four models for the daily COVID-19 death
Externí odkaz:
http://arxiv.org/abs/2006.15997
This paper provides a formal evaluation of the predictive performance of a model (and its various updates) developed by the Institute for Health Metrics and Evaluation (IHME) for predicting daily deaths attributed to COVID19 for each state in the Uni
Externí odkaz:
http://arxiv.org/abs/2004.04734
Discrimination between non-stationarity and long-range dependency is a difficult and long-standing issue in modelling financial time series. This paper uses an adaptive spectral technique which jointly models the non-stationarity and dependency of fi
Externí odkaz:
http://arxiv.org/abs/1902.03350
Bayesian Optimisation has gained much popularity lately, as a global optimisation technique for functions that are expensive to evaluate or unknown a priori. While classical BO focuses on where to gather an observation next, it does not take into acc
Externí odkaz:
http://arxiv.org/abs/1703.04211
We propose a novel holistic approach for safe autonomous exploration and map building based on constrained Bayesian optimisation. This method finds optimal continuous paths instead of discrete sensing locations that inherently satisfy motion and safe
Externí odkaz:
http://arxiv.org/abs/1703.00227
Autor:
Zhu, Wanchuang1,2,3 (AUTHOR) wanchuang.zhu@uts.edu.au, Marchant, Roman2,3 (AUTHOR), Morris, Richard W.3,4 (AUTHOR), Baur, Louise A.3,5,6 (AUTHOR), Simpson, Stephen J.3,7 (AUTHOR), Cripps, Sally1,3,8,9 (AUTHOR)
Publikováno v:
BMC Medicine. 3/21/2023, Vol. 21 Issue 1, p1-13. 13p.
Akademický článek
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Autor:
Zhu, Wanchuang, Marchant, Roman, Morris, Richard W., Baur, Louise A., Simpson, Stephen J., Cripps, Sally
Additional file 1. Details of data, data pre-processing, prior setting and comparison with multiple linear regression. Table S1. Design of the LSAC data collection. Table S2. The availability of variables in different waves for cohort B and K respect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c80eab9eb85af70abfbbc93f49273f46
Akademický článek
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