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pro vyhledávání: '"Cripps, Edward"'
Welch's method provides an estimator of the power spectral density that is statistically consistent. This is achieved by averaging over periodograms calculated from overlapping segments of a time series. For a finite length time series, while the var
Externí odkaz:
http://arxiv.org/abs/2312.13643
A load sharing system has several components and the failure of one component can affect the lifetime of the surviving components. Since component failure does not equate to system failure for different system designs, the analysis of the dependency
Externí odkaz:
http://arxiv.org/abs/2307.10044
The abundance of observed data in recent years has increased the number of statistical augmentations to complex models across science and engineering. By augmentation we mean coherent statistical methods that incorporate measurements upon arrival and
Externí odkaz:
http://arxiv.org/abs/2307.05334
Statistical learning additions to physically derived mathematical models are gaining traction in the literature. A recent approach has been to augment the underlying physics of the governing equations with data driven Bayesian statistical methodology
Externí odkaz:
http://arxiv.org/abs/2109.04757
Akademický článek
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We present a method for the joint analysis of a panel of possibly nonstationary time series. The approach is Bayesian and uses a covariate-dependent infinite mixture model to incorporate multiple time series, with mixture components parameterized by
Externí odkaz:
http://arxiv.org/abs/1908.06622
Publikováno v:
In Computers in Industry February 2023 145
Naveau et al. (2016) have recently developed a class of methods, based on extreme-value theory (EVT), for capturing low, moderate, and heavy rainfall simultaneously, without the need to choose a threshold typical to EVT methods. We analyse the perfor
Externí odkaz:
http://arxiv.org/abs/1804.08807
Autor:
Lindsay, Mark D, Piechocka, Agnieszka M., Jessell, Mark W, Scalzo, Richard, Giraud, Jeremie, Pirot, Guillaume, Cripps, Edward
Publikováno v:
In Geoscience Frontiers November 2022 13(6)
Publikováno v:
In Journal of Computational Physics 15 August 2022 463