Zobrazeno 1 - 10
of 322
pro vyhledávání: '"Nott, D"'
Artificial neural networks (ANNs) are highly flexible predictive models. However, reliably quantifying uncertainty for their predictions is a continuing challenge. There has been much recent work on "recalibration" of predictive distributions for ANN
Externí odkaz:
http://arxiv.org/abs/2403.05756
Likelihood-free methods such as approximate Bayesian computation (ABC) have extended the reach of statistical inference to problems with computationally intractable likelihoods. Such approaches perform well for small-to-moderate dimensional problems,
Externí odkaz:
http://arxiv.org/abs/1906.04347
This Chapter, "High-dimensional ABC", is to appear in the forthcoming Handbook of Approximate Bayesian Computation (2018). It details the main ideas and concepts behind extending ABC methods to higher dimensions, with supporting examples and illustra
Externí odkaz:
http://arxiv.org/abs/1802.09725
Publikováno v:
Vascular Health and Risk Management, Vol Volume 18, Pp 417-443 (2022)
Lina Shibib,1 Mo Al-Qaisi,1 Ahmed Ahmed,1 Alexander D Miras,2 David Nott,1 Marc Pelling,1 Stephen E Greenwald,3 Nicola Guess4 1Department of Surgery and Cancer, Imperial College London, London, UK; 2Department of Metabolism, Digestion and Reproductio
Externí odkaz:
https://doaj.org/article/c741f911cccc41649be86269c281681c
Autor:
Nott, D. A.
In this thesis I argue for a re-assessment of the place within art historical research of a neglected cohort of late-Victorian battle artists who continued to paint military scenes into the second decade of the twentieth century. I chart the move tow
Externí odkaz:
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.665044
Approximate Bayesian computation (ABC) methods, which are applicable when the likelihood is difficult or impossible to calculate, are an active topic of current research. Most current ABC algorithms directly approximate the posterior distribution, bu
Externí odkaz:
http://arxiv.org/abs/1212.1479
Two contributions to the discussion of Fearnhead P. and D. Prangle (2012). Constructing summary statistics for approximate Bayesian computation: Semi-automatic approx- imate Bayesian computation, J. Roy. Statist. Soc. B, 74 (3).
Externí odkaz:
http://arxiv.org/abs/1201.1893
Bayes linear analysis and approximate Bayesian computation (ABC) are techniques commonly used in the Bayesian analysis of complex models. In this article we connect these ideas by demonstrating that regression-adjustment ABC algorithms produce sample
Externí odkaz:
http://arxiv.org/abs/1112.4755
Publikováno v:
Journal of Computational and Graphical Statistics, 2018 Mar 01. 27(1), 1-11.
Externí odkaz:
https://www.jstor.org/stable/44862027
Publikováno v:
Journal of Computational and Graphical Statistics, 2014 Mar 01. 23(1), 65-86.
Externí odkaz:
https://www.jstor.org/stable/43305715