Zobrazeno 1 - 10
of 4 989
pro vyhledávání: '"approximate bayesian computation"'
Autor:
Harsh Chhajer, Rahul Roy
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Quantitative experiments are essential for investigating, uncovering, and confirming our understanding of complex systems, necessitating the use of effective and robust experimental designs. Despite generally outperforming other approaches,
Externí odkaz:
https://doaj.org/article/9d540c044bb94c88bef483426517d102
Autor:
Rynhardt Le Roux, Ivo Colmonero-Costeira, Justus P. Deikumah, Lindy J. Thompson, Isa-Rita M. Russo, Bettine Jansen van Vuuren, Sandi Willows-Munro
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Critically endangered Hooded Vultures (Necrosyrtes monachus Temminck, 1823), like many vulture species globally, are experiencing rapid population declines due to anthropogenic factors such as poisonings, human persecution, trading for belie
Externí odkaz:
https://doaj.org/article/076c39d81d18489e88b41ed9fd18acd0
Publikováno v:
Water Science and Technology, Vol 90, Iss 1, Pp 156-167 (2024)
Model parameter estimation is a well-known inverse problem, as long as single-value point data are available as observations of system performance measurement. However, classical statistical methods, such as the minimization of an objective function
Externí odkaz:
https://doaj.org/article/e105a2a09b4a4260a283e7ffc0f02eb9
Autor:
Daniel Ciganda, Nicolas Todd
Publikováno v:
Royal Society Open Science, Vol 11, Iss 11 (2024)
Fitting statistical models to aggregate data is still the dominant approach in many demographic and biodemographic applications. Although these macro-level models have proven useful for a variety of tasks, they often have no demographic interpretatio
Externí odkaz:
https://doaj.org/article/c4ab544622ee4cf18cc7d62eff1e01e7
Akademický článek
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Akademický článek
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Publikováno v:
Journal of Hydroinformatics, Vol 26, Iss 2, Pp 503-518 (2024)
Approximate Bayesian computation (ABC) relaxes the need to derive explicit likelihood functions required by formal Bayesian analysis. However, the high computational cost of evaluating models limits the application of Bayesian inference in hydrologic
Externí odkaz:
https://doaj.org/article/46387f021b7149c2923510e5b54c8705
Autor:
Conor Rosato, Peter L. Green, John Harris, Simon Maskell, William Hope, Alessandro Gerada, Alex Howard
Publikováno v:
IEEE Access, Vol 12, Pp 100772-100791 (2024)
Antimicrobial resistance (AMR) emerges when disease-causing microorganisms develop the ability to withstand the effects of antimicrobial therapy. This phenomenon is often fueled by the human-to-human transmission of pathogens and the overuse of antib
Externí odkaz:
https://doaj.org/article/82f66a11f6b74de1a6f6802b1cbb98df
Autor:
Isyaku Muhammad, Mustapha Muhammad, Baohua Wang, Wang Chen, Badamasi Abba, Mustapha Mukhtar Usman
Publikováno v:
Symmetry, Vol 16, Iss 10, p 1364 (2024)
The degradation of products is an integral part of their life-cycle, often following predictable trajectories. However, sudden, unexpected events, termed ’shocks’, can substantially alter these degradation paths. Shocks can significantly influenc
Externí odkaz:
https://doaj.org/article/e8f111e042d54b21a85ac03805a5ab75
Publikováno v:
Revista Brasileira de Recursos Hídricos, Vol 29 (2024)
ABSTRACT In the most common Bayesian framework for estimating the parameters of a hydrological model (time domain), the specification of the likelihood function can be challenging. In addition, scarcely gauged regions might be hard to model, due to t
Externí odkaz:
https://doaj.org/article/6709832791224be9a65c26147529414f