Zobrazeno 1 - 10
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pro vyhledávání: '"Nason A"'
Data collected over networks can be modelled as noisy observations of an unknown function over the nodes of a graph or network structure, fully described by its nodes and their connections, the edges. In this context, function estimation has been pro
Externí odkaz:
http://arxiv.org/abs/2410.13693
The photon parton distribution function (PDF) of the proton is crucial for precise comparisons of LHC cross sections with theoretical predictions. However, it was previously affected by very large uncertainties of around ${\cal O}(100\%)$ or dependen
Externí odkaz:
http://arxiv.org/abs/2408.12719
We consider top quark production and decay in the narrow width approximation and study if the polarisation effects, that manifest themselves in correlations of angular distributions of particles from top quark decays and final state jets in the produ
Externí odkaz:
http://arxiv.org/abs/2408.00632
We present a generator for lepton nucleon collisions in the DIS regime, focusing in particular on processes with a massive lepton and/or a massive quark in the final state. We have built a full code matching NLO QCD corrections to parton shower Monte
Externí odkaz:
http://arxiv.org/abs/2406.05115
Autor:
Nason, Guy P, Wei, James L.
This article combines wavelet analysis techniques with machine learning methods for univariate time series forecasting, focusing on three main contributions. Firstly, we consider the use of Daubechies wavelets with different numbers of vanishing mome
Externí odkaz:
http://arxiv.org/abs/2403.08630
Network time series are becoming increasingly relevant in the study of dynamic processes characterised by a known or inferred underlying network structure. Generalised Network Autoregressive (GNAR) models provide a parsimonious framework for exploiti
Externí odkaz:
http://arxiv.org/abs/2401.09381
Autor:
Liu, Hengxu, Nason, Guy
The original generalized network autoregressive models are poor for modelling count data as they are based on the additive and constant noise assumptions, which is usually inappropriate for count data. We introduce two new models (GNARI and NGNAR) fo
Externí odkaz:
http://arxiv.org/abs/2312.01944
Network time series are becoming increasingly important across many areas in science and medicine and are often characterised by a known or inferred underlying network structure, which can be exploited to make sense of dynamic phenomena that are ofte
Externí odkaz:
http://arxiv.org/abs/2312.00530
Publikováno v:
Journal of High Energy Physics, Vol 2024, Iss 11, Pp 1-39 (2024)
Abstract We consider top quark production and decay in the narrow width approximation and study if the polarisation effects, that manifest themselves in correlations of angular distributions of particles from top quark decays and final state jets in
Externí odkaz:
https://doaj.org/article/7714c3e500434f36a294c862dfe55f1c
This article introduces the class of continuous time locally stationary wavelet processes. Continuous time models enable us to properly provide scale-based time series models for irregularly-spaced observations for the first time, while also permitti
Externí odkaz:
http://arxiv.org/abs/2310.12788